ライフサイエンスコーパス: abdominal obesity

1 ngly influenced by fasting hyperglycemia and abdominal obesity.

2 fat and systemic inflammation in people with abdominal obesity.

3 ions, as well as coexistent hypertension and abdominal obesity.

4 s associations with body mass index (BMI) or abdominal obesity.

5 of the subjects were obese, and 94 (76%) had abdominal obesity.

6 eural networks that may lead toward ultimate abdominal obesity.

7 ors for coronary heart disease in women with abdominal obesity.

8 glyceride level, elevated glucose level, and abdominal obesity.

9 nt of the metabolic syndrome associated with abdominal obesity.

10 the metabolic abnormalities associated with abdominal obesity.

11 uring early fasting is blunted in women with abdominal obesity.

12 xpenditure, altered lipolysis, and increased abdominal obesity.

13 cardiovascular risk factors associated with abdominal obesity.

14 p to half of the association was mediated by abdominal obesity.

15 ratio can reveal new therapeutic targets for abdominal obesity.

16 in 5 adults worldwide with a normal BMI had abdominal obesity.

17 specially women and subjects with or without abdominal obesity.

18 ng smoking, old age at urine collection, and abdominal obesity.

19 protection from T2D but also with increased abdominal obesity.

20 togenic ectopic fat depots among adults with abdominal obesity.

21 ms underlying T2D risk stratification within abdominal obesity.

22 randomly assigned participants with moderate abdominal obesity.

23 dditional insight on genetic contribution to abdominal obesity.

24 intensity resulted in similar reductions in abdominal obesity.

25 postprandial lipid metabolism in humans with abdominal obesity.

26 d 2.24 (95%CI, 1.78-2.82), respectively, for abdominal obesity.

27 tion effect did not differ by general versus abdominal obesity.

28 overweight or obese and less likely to have abdominal obesity.

29 itions of equal energy deficit in women with abdominal obesity.

30 e models of genes predicted to be causal for abdominal obesity.

31 5% confidence interval (CI): 0.50, 0.69] and abdominal obesity (0.74; 95% CI: 0.66, 0.82), and a lowe

32 all obesity (16.0 vs 11.0, respectively) and abdominal obesity (16.7 vs 11.0).

33 5.2) greater WC, and 3-fold greater odds of abdominal obesity (2.9; 1.6, 5.1) compared with women wh

34 mpared with participants in 2015, had higher abdominal obesity (389 participants [73.2%] vs 233 parti

35 valence of components in MetS was 57.75% for abdominal obesity, 44.05% for elevated blood pressure, 4

36 had the highest prevalence of normal-weight abdominal obesity (58.4%; 95% CI, 54.1%-62.6%), while Mo

37 rolled trial among 278 sedentary adults with abdominal obesity (75%) or dyslipidemia in an isolated w

38 For abdominal obesity, a dichotomous variable was created: 1

39 ivin E as a potential therapeutic target for abdominal obesity, a phenotype linked to cardiometabolic

40 ) = 1.163; 95% CI = 1.023-1.323; p = 0.021), abdominal obesity (adjusted OR(gamma) = 1.173; 95% CI =

41 to higher WHRadjBMI predicts an increase in abdominal obesity after weight loss, whereas genetic pre

42 ve assessed the association between nuts and abdominal obesity, although an inverse association with

43 ferentiation of new adipocytes, resulting in abdominal obesity and a metabolic syndrome-like conditio

44 ferential VAT investment could contribute to abdominal obesity and chronic inflammatory disease.

45 Metabolic syndrome, abdominal obesity and dyslipidaemia, are strongly associ

46 Abdominal obesity and exaggerated postprandial lipemia a

47 2.59) in subjects in the lowest quintiles of abdominal obesity and fasting hyperglycemia, respectivel

48 Abdominal obesity and hyperglycemia were responsible for

49 ioprotective system becomes dysfunctional in abdominal obesity and hyperglycemia.

50 drome, men on ADT had a higher prevalence of abdominal obesity and hyperglycemia.

51 ndicates that women tended to have onsets of abdominal obesity and hypo-alpha-lipoproteinemia in youn

52 S variants and partitioned polygenic risk of abdominal obesity and inflammation to the SAT epigenome.

53 Menopause may be accompanied by abdominal obesity and inflammation, conditions accentuat

54 l design in which HIV-infected subjects with abdominal obesity and insulin resistance were randomized

55 which hsCRP is likely to be elevated, namely abdominal obesity and insulin resistance, provides a fra

56 it may play a role in the pathophysiology of abdominal obesity and insulin resistance.

57 lity exists, a negative relationship between abdominal obesity and insulin sensitivity was confirmed

58 Data on normal-weight abdominal obesity and its association with cardiometabol

59 s a potential interaction (P = 0.08) between abdominal obesity and low 25(OH)D concentrations that sh

60 giogenic and anti-adipogenic, while reducing abdominal obesity and metabolic abnormalities.

61 ed adipogenesis and angiogenesis, leading to abdominal obesity and metabolic syndrome which were inhi

62 nutritional risk predicts the development of abdominal obesity and MetS during long-term follow-up in

63 ted prevalences of overweight or obesity and abdominal obesity and odds ratios with SUDAAN software (

64 efect in muscle aPKC is sufficient to induce abdominal obesity and other lipid abnormalities of the m

65 ad a 2- to 3-fold risk of the development of abdominal obesity and overall MetS during 12 y of follow

66 abolic pathways and networks contributing to abdominal obesity and overlapped with a macrophage-enric

67 id economic development and urban migration, abdominal obesity and related chronic diseases are likel

68 ized controlled trial, 92 men and women with abdominal obesity and relatively low HDL-cholesterol con

69 optimal exercise modality for reductions of abdominal obesity and risk factors for type 2 diabetes i

70 iple cardiometabolic risk factors, including abdominal obesity and smoking.

71 iple cardiometabolic risk factors, including abdominal obesity and smoking.

72 changes in body composition, involving both abdominal obesity and stavudine-induced peripheral lipoa

73 t loci associated with discordant effects on abdominal obesity and T2D risk.

74 erences in the association between dynapenic abdominal obesity and the decline in physical performanc

75 have been identified, chief among which are abdominal obesity and the metabolic syndrome.

76 mance is worse in individuals with dynapenic abdominal obesity and whether there are sex differences

77 omic status, higher systolic blood pressure, abdominal obesity, and a complex medical history.

78 Waist:hip ratio was used to assess abdominal obesity, and forced expiratory volume in 1 sec

79 ibutable risk percentage of overall obesity, abdominal obesity, and high FM for incident HF was highe

80 ibutable risk percentage of overall obesity, abdominal obesity, and high FM for incident HF was highe

81 conditions (diabetes, hypertension, obesity, abdominal obesity, and hypercholesterolemia), and access

82 iated with metabolic syndrome, hypertension, abdominal obesity, and hypertriglyceridemia.

83 include advanced age, male sex, white race, abdominal obesity, and tobacco use.

84 ally suppressed with antiretroviral therapy, abdominal obesity (AO) is linked to neurocognitive impai

85 s, including body mass index z-score (zBMI), abdominal obesity (AO), total cholesterol (TC), and trig

86 In a younger population, overall and abdominal obesity are associated with increased prevalen

87 Effects on cardiorespiratory fitness and abdominal obesity are both likely to contribute to the i

88 G variant contributes to overall fatness and abdominal obesity are confirmed.

89 General overweight and general and abdominal obesity are independently associated with an i

90 adults, highlights the urgency of addressing abdominal obesity as a healthcare priority.

91 We defined abdominal obesity as a waist circumference > or =90th pe

92 We used fasting hyperglycemia and abdominal obesity as surrogates for insulin sensitivity.

93 More recent data highlight abdominal obesity, as determined by waist circumference,

94 Abdominal obesity, as indicated by elevated waist circum

95 r aim was to examine the association between abdominal obesity, as measured by the waist-to-hip ratio

96 as measured by body mass index, and that of abdominal obesity, as measured by waist-to-hip ratio, ha

97 Total and abdominal obesity, as well as metabolic factors such as

98 nostic approaches vary but commonly focus on abdominal obesity (assessed using waist circumference),

99 ene, the transcription factor TBX15, and its abdominal obesity-associated deleterious missense varian

100 The study involved 44 males with abdominal obesity (average age 34.7 +/- 5.5 years, waist

101 the metabolic syndrome: insulin resistance, abdominal obesity based on waist circumference, hypertri

102 umference and standard and new indicators of abdominal obesity based on waist circumference.

103 uses of death and disability worldwide, with abdominal obesity being a major contributor to these con

104 studies, significant improvements in weight, abdominal obesity, blood pressure, and lipid profile wer

105 ssociations of BPA exposure with general and abdominal obesity, BPF or BPS, at current exposure level

106 The results suggest that abdominal obesity, but not elevated body mass index, pre

107 acid glycine (Gly) is associated with intra-abdominal obesity, but the mechanism remains unclear.

108 Significant EAC risk factors included age, abdominal obesity, caffeine intake, and the presence of

109 Volunteers with abdominal obesity consumed each of 5 identical weight-ma

110 the epidemic has leveled off, prevalence of abdominal obesity continues to rise, especially among ad

111 vide partial support for the hypothesis that abdominal obesity contributes to GERD, which may in turn

112 e identification and management of dynapenic abdominal obesity could be essential to avoiding the fir

113 In patients with type 2 diabetes with abdominal obesity, CR ameliorates glomerular hyperfiltra

114 /nonabdominal obesity (D/NAO), and dynapenic/abdominal obesity (D/AO).

115 e prevalence of overweight or obesity and of abdominal obesity decreased with increased snacking freq

116 Limited data suggest that abdominal obesity decreases the sensitivity of palpation

117 Comfort food ingestion that produces abdominal obesity, decreases CRF mRNA in the hypothalamu

118 istance (HOMA-IR) value greater than 2.2 and abdominal obesity (defined as waist circumference >88 cm

119 ies a substantial number of individuals with abdominal obesity despite BMI <30 kg/m(2), and may enhan

120 LCF was significantly associated with abdominal obesity, diabetes mellitus, erectile dysfuncti

121 ages at onset of 5 cardiometabolic diseases: abdominal obesity, diabetes, hypertension, hypertriglyce

122 specific and only in men with a phenotype of abdominal obesity-diabetes, a positive link was observed

123 f metabolic syndrome include hyperglycaemia, abdominal obesity, dyslipidaemia, and high blood pressur

124 cludes insulin resistance, hyperinsulinemia, abdominal obesity, dyslipidemia with high triglyceride a

125 risk factors, including insulin resistance, abdominal obesity, dyslipidemia, and hypertension, and i

126 were significant differences in measures of abdominal obesity, dyslipidemia, hyperinsulinemia, and t

127 concerning because South Asians show greater abdominal obesity, ectopic fat accumulation (particularl

128 Metabolic syndrome and its components-abdominal obesity, elevated fasting blood glucose concen

129 g, and Blood Institute criteria and included abdominal obesity, elevated triglycerides, low high-dens

130 ), are especially common in: (i) adults with abdominal obesity, especially enlargement of visceral ad

131 , early type 2 diabetes mellitus, ubiquitous abdominal obesity, exposure to the world's highest level

132 estigate whether the increased risk of fetal abdominal obesity (FAO) is present in the older (>= 35 y

133 Fetal abdominal obesity (FAO) was detected at the time of gest

134 rameters, and lipid metabolism in males with abdominal obesity following two distinct interventions:

135 This study included adults with abdominal obesity from an 18-mo diet and physical activi

136 sms that uncouple the genetic inheritance of abdominal obesity from T2D risk have not yet been descri

137 yte DMRs and A compartments are enriched for abdominal obesity genome-wide association study (GWAS) v

138 Mechanisms of abdominal obesity GWAS variants have remained largely un

139 , being divorced/widowed, alcohol intake and abdominal obesity had higher odds of HEPHA; higher educa

140 Abdominal obesity has a direct effect on unfavorable per

141 Increased abdominal obesity has been related to lower insulin sens

142 The prevalence of abdominal obesity has increased, while those in the low-

143 children and adults, particularly those with abdominal obesity, have an elevated serum triacylglycero

144 molecule biochemicals, dramatically improves abdominal obesity, hepatosteatosis, hypertriglyceridemia

145 me (MetS), a cluster of conditions including abdominal obesity, high blood pressure, and abnormal blo

146 The influences of age, whole-body/abdominal obesity, homeostasis model of insulin resistan

147 mference but no increased risk in women with abdominal obesity (HR: 0.96; 95% CI: 0.52, 1.76).

148 2; 95% CI: 1.03, 4.77; P-trend = 0.032), and abdominal obesity (HRQ4vsQ1 = 2.68; 95% CI: 1.06, 6.79;

149 In individuals with type 2 diabetes with abdominal obesity, hyperfiltration is a risk factor for

150 3 or more of the following characteristics: abdominal obesity, hyperglycemia, hypertension, hypertri

151 Along with abdominal obesity, hypertension, high levels of triglyce

152 of 4 out of 5 individual components of MetS (abdominal obesity, hypertriglyceridemia, low high-densit

153 diabetes later; men tended to have onsets of abdominal obesity, hypo-alpha-lipoproteinemia, and hyper

154 Different onset patterns of abdominal obesity, hypo-alpha-lipoproteinemia, and male

155 ociations of snacking with weight status and abdominal obesity in adolescents 12-18 y of age (n = 581

156 or instance, fruit consumption was linked to abdominal obesity in children (abdominal obesity vs. nor

157 , but it is not known whether DHEA decreases abdominal obesity in humans.

158 and early-life nutritional status relate to abdominal obesity in men and women and to type 2 diabete

159 We prospectively studied measures of abdominal obesity in relation to the incidence of sympto

160 s considered a poor indicator of overall and abdominal obesity in the elderly.

161 Factors associated with abdominal obesity included primary and secondary or high

162 Overweight and abdominal obesity increase mortality risk, although the

163 trend<0.001), and age adjusted prevalence of abdominal obesity increased from 54.5% (51.2% to 57.8%)

164 Total effect of abdominal obesity increased risk of AL and BOP in differ

165 Data on the role of abdominal obesity, insulin resistance, and metabolic syn

166 Abdominal obesity is associated with metabolic abnormali

167 After discovering that heritability of abdominal obesity is enriched in adipocytes, we focused

168 Abdominal obesity is measured by calculating the ratio o

169 evealed that even though a high incidence of abdominal obesity is observed in females with SMS, they

170 Whether abdominal obesity is related to coronary artery calcific

171 a, low HDL cholesterol, hypertension, and/or abdominal obesity, is a risk factor for the development

172 Obesity, particularly abdominal obesity, is associated with Barrett's esophagu

173 strong interrelation between generalized and abdominal obesity leading to a mutually confounding effe

174 ts, independently, were associated with with abdominal obesity, low energy expenditure, and muscle we

175 However, abdominal obesity may be more closely related to stroke

176 hese results suggest that genetic effects on abdominal obesity may be more pronounced than those on g

177 The insulin resistance syndrome, including abdominal obesity, may constitute the intermediate link

178 Abdominal obesity measured by waist girth or WHR is asso

179 Sixty genetic loci associated with abdominal obesity, measured by waist circumference (WC)

180 o have CAD risk factors, but neither BMI nor abdominal obesity measures were significantly associated

181 /nonabdominal obesity (ND/NAO), nondynapenic/abdominal obesity (ND/AO), dynapenic/nonabdominal obesit

182 dence of an interaction between genotype and abdominal obesity on atherosclerosis and cardiovascular

183 0.004), and in participants with or without abdominal obesity (OR = 0.62, 95% CI = 0.47-0.81, Ptrend

184 e with the prevalence of NAFLD patients with abdominal obesity (OR = 0.75, 95% CI = 0.57-0.97, Ptrend

185 those with 4 births had the highest odds of abdominal obesity (OR, 2.0; 95% confidence interval, 1.5

186 related to the 20-y cumulative prevalence of abdominal obesity (P = 0.05) and high glucose (P = 0.02)

187 In multivariate analyses, abdominal obesity (PAR, 29.3%), smoking (PAR, 25.6%), no

188 The increasing prevalence of abdominal obesity, particularly among female adults, hig

189 Abdominal obesity, particularly excess intraperitoneal f

190 Abdominal obesity plays a significant role in the develo

191 whether genetic predisposition to general or abdominal obesity predicts weight regain after weight lo

192 In a MSM, those with abdominal obesity presented greater risk of AL and BOP i

193 defined as the presence of three or more of: abdominal obesity, raised blood pressure, high triglycer

194 IGF-1, and metabolic syndrome abnormalities (abdominal obesity; raised A1C, blood pressure, and trigl

195 (95% CIs) for overweight or obesity and for abdominal obesity ranged from 0.63 (0.48, 0.85) to 0.40

196 21.8%) of participants with a normal BMI had abdominal obesity, ranging from 15.3% (95% CI, 15.0%-15.

197 tors of no current smoking, non-obesity, non-abdominal obesity, regular physical activity, and approp

198 ggest that studies of the gut microbiome and abdominal obesity-related disease outcomes should accoun

199 hysical inactivity compared with overall and abdominal obesity remains unclear.

200 Addressing abdominal obesity requires multifaceted strategies, with

201 those with more than 20 years of overall and abdominal obesity, respectively, experienced progression

202 circumference to define general obesity and abdominal obesity, respectively.

203 ow-up, 40.4% and 41.0% developed overall and abdominal obesity, respectively.

204 ental disorder with the cardinal features of abdominal obesity, retinopathy, polydactyly, cognitive i

205 ic analysis of MeD, stratified by gender and abdominal obesity, revealed the favorable association wa

206 ed significant evidence of selection for the abdominal obesity risk allele T of rs10494217 in Finns,

207 /=35 kg/m(2)), long-lasting (>30 years), and abdominal obesity stratified for metabolic status.

208 Hispanics/Latinas with a high prevalence of abdominal obesity suggests high risk for metabolic dysre

209 2 weeks developed the characteristics of the abdominal obesity syndrome, including insulin resistance

210 tors, a complication develops that resembles abdominal obesity syndrome, with insulin resistance and

211 a high-fat diet may be a useful model of the abdominal obesity syndrome.

212 ctional adipose tissue and ectopic lipids in abdominal obesity, systemic inflammation and dyslipidaem

213 s with insulin resistance, dyslipidaemia and abdominal obesity, the identification of genes for defec

214 esponse compared with casein in persons with abdominal obesity, thereby indicating a beneficial impac

215 , dyslipidaemia, diabetes or prediabetes, or abdominal obesity) to placebo, once-daily phentermine 7.

216 In summary, the abdominal obesity variant rs10494217 was selected in Fin

217 The prevalence of abdominal obesity varies considerably with new and stand

218 was linked to abdominal obesity in children (abdominal obesity vs. normal: 2.4 servings/day vs. 1.6 s

219 We found that abdominal obesity (waist circumference) was the stronges

220 measures, change in overall body weight and abdominal obesity (waist circumference), and weight and

221 The association of body mass index and abdominal obesity (waist/hip ratio) with stroke incidenc

222 Longer duration of overall and abdominal obesity was associated with subclinical corona

223 Duration of overall and abdominal obesity was calculated using repeat measuremen

224 Additionally, having a normal BMI and abdominal obesity was consistently associated with hyper

225 Abdominal obesity was defined as a waist circumference o

226 Abdominal obesity was defined as waist circumference (WC

227 Abdominal obesity was determined based on waist circumfe

228 Abdominal obesity was higher in those aged 70-79 compare

229 ver, these associations were attenuated when abdominal obesity was included in the statistical model.

230 men (body mass index, 18.5 to < 25 kg/m(2)), abdominal obesity was significantly associated with elev

231 le risk of overall obesity (BMI 30 kg/m(2)), abdominal obesity (WC>88 and 102 cm in women and men, re

232 e risk of overall obesity (BMI>=30 kg/m(2)), abdominal obesity (WC>88 and 102 cm in women and men, re

233 Abdominal obesity (WC) correlated with inflammation (r =

234 r CAC for each additional year of overall or abdominal obesity were 1.02 (95% CI, 1.01-1.03) and 1.03

235 Reduced risks of overweight or obesity and abdominal obesity were associated with snacking.

236 Indices of abdominal obesity were more consistently and strongly pr

237 differences in high-density lipoprotein and abdominal obesity were only observed in female individua

238 Obesity and abdominal obesity were prevalent, affecting more than a

239 Participants aged 40-70 years with abdominal obesity were randomized over 3 groups: a 25% E

240 s of diabesity, either defined by general or abdominal obesity, were associated with increased risk o

241 esity-associated morbidity is exacerbated by abdominal obesity, which can be measured as the waist-to

242 Normal-weight abdominal obesity, which is defined as a normal body mas

243 in resistance, increased blood pressure, and abdominal obesity, which together markedly increase the

244 Efforts to reduce abdominal obesity will not only reduce the risk of chron

245 conducted a meta-analysis of associations of abdominal obesity with approximately 2.5 million single

246 High-risk obesity is characterized by abdominal obesity with evidence of abnormal glucose and