ライフサイエンスコーパス: overweight

1 r prolonged labor was a secondary pathway to overweight.

2 ect the risks of preterm birth and childhood overweight.

3 and non-transmitted maternal GRS with child overweight.

4 mall size for gestational age, and childhood overweight.

5 d 120,000 (95% UI 34,000-240,000) fewer with overweight.

6 es were present in 28%, including asthma and overweight.

7 aternal BMI, being weaker among mothers with overweight.

8 cations and seems to influence later risk of overweight.

9 ated with parental body mass index (BMI) and overweight.

10 ive to separate programming for stunting and overweight.

11 nal age, but with a higher risk of childhood overweight.

12 is associated with increased food intake and overweight.

13 maternal smoking, with the risk of childhood overweight.

14 : underweight (8.3%), normal weight (73.9%), overweight (10.7%), and obese (7.1%).

15 mong obese adolescents (270/100,000) than of overweight (179/100,000), normal weight (154/100,000), a

16 ory: underweight (31%), normal weight (24%), overweight (19%), obese class I (16%), obese class II (1

17 y the square of the height in meters], <25), overweight (25 to <30), moderate obesity (30 to <35), an

18 egorized into normal weight (20-24.9 kg/m2), overweight (25-29.9 kg/m2), and obesity (30+ kg/m2).

19 underweight (13.1%), normal weight (41.4%), overweight (31.5%) and obesity (14.0%).

20 : 48%; underweight: 30%; normal weight: 23%; overweight: 33%; obesity: 14%; predominant cancer sites:

21 (57%), were at nutritional risk (57%), were overweight (53%), had visceral obesity (62%), had a norm

22 ecause the majority of Gulf War Veterans are overweight, a second objective was to determine if a hig

23 ower hazard of death among ever-smokers (for overweight, adjusted hazard ratio (aHR) = 0.56, 95% conf

24 nterval [CI] 1.22-1.83; P < .05), the OR for overweight adolescents was 1.42 (95% CI 1.08-1.92; P < .

25 take, weight loss, and metabolic outcomes in overweight adults who could choose to follow Mediterrane

26 CI: 0.48, 0.92), but never-smokers did not (overweight, aHR = 1.41, 95% CI: 0.66, 3.03; obesity, aHR

27 the major direct cause is rapid increases in overweight allows identifying selected crucial drivers a

28 esarean section and first pregnancy to child overweight and atopy share many common mediators of the

29 Overweight and class I to III obese individuals were at

30 Individuals who were overweight and fit had a lower MetScore (-0.6 SD; P = 0.

31 Overweight and metabolic problems now add to the burden

32 ly define the cardiovascular disease risk of overweight and moderate obesity.

33 ptoms, post-traumatic stress disorder, being overweight and negatively loaded by pain self-efficacy a

34 Taking non-overweight and non-early puberty children as the referen

35 significantly higher in obese, compared with overweight and normal-weight adolescents (23.05 (8.79) v

36 ants relied less on model-based control than overweight and normal-weight participants, with no diffe

37 ght participants, with no difference between overweight and normal-weight participants.

38 Overweight and obese adolescents have higher odds of hav

39 Correction of vitamin D deficiency in overweight and obese children by vitamin D3 supplementat

40 ms were to determine, in vitamin D-deficient overweight and obese children, whether supplementation w

41 ensitivity, which are generally disturbed in overweight and obese individuals, may improve by increas

42 ight be useful for predicting weight loss in overweight and obese individuals.

43 Overweight and obese men did not have a lower mortality

44 ctivation of beta-catenin in physically fit, overweight and obese patients.

45 In overweight and obese subjects undergoing a Mediterranean

46 y should be prioritised for VFM reduction in overweight and obese subjects.

47 ssociation was stronger among those who were overweight and obese than among those of normal weight (

48 on, and other metabolic health parameters in overweight and obese volunteers.

49 d tended to be stronger in children who were overweight and obese.

50 weekdays was associated with higher odds of overweight and obesity [Odds ratio (95% confidence inter

51 countries develop, and project the burden of overweight and obesity among the poor for 103 countries.

52 Overweight and obesity are associated with adverse healt

53 Although overweight and obesity are assumed to arise from an ener

54 Maternal overweight and obesity are related to risks of pregnancy

55 The prevalence of overweight and obesity combined was 28.8%.

56 We characterize the transition of overweight and obesity from wealthier to poorer populati

57 The worldwide epidemic of overweight and obesity has led to an increase in associa

58 The global prevalence of overweight and obesity has risen substantially over the

59 emain high in many regions, whereas those of overweight and obesity have increased in all age and soc

60 Sleep may play a role in overweight and obesity in adolescents.

61 tting up public health strategies to prevent overweight and obesity in childhood.

62 erence in sleep duration was associated with overweight and obesity in females, but not in males.

63 ve evidence linking later weekend sleep with overweight and obesity in females.

64 es in sleep timing, were not associated with overweight and obesity in the overall population, althou

65 Prevalences of overweight and obesity in young children have risen dram

66 Overweight and obesity increase the risk of morbidity an

67 Maternal overweight and obesity increased the risk of EOS by grou

68 ncreased in the poorest LMICs, mainly due to overweight and obesity increases.

69 reported data, possible reverse causality of overweight and obesity on wealth, and the lack of physic

70 We then projected overweight and obesity rates by wealth decile to 2040 fo

71 ght to analyze associations between maternal overweight and obesity severity and rates of complex and

72 Risk of EOS increases with maternal overweight and obesity severity, particularly in term in

73 aiming to reduce the prevalence of childhood overweight and obesity should focus on maternal weight s

74 nships between sleep duration and timing and overweight and obesity status in adolescents, with a spe

75 The prevalence of overweight and obesity was 20.65% and 33.18%, respective

76 ere included, and the combined prevalence of overweight and obesity was 40.5%.

77 The prevalence of overweight and obesity was greater in female dogs (P = 0

78 Specifically, the odds of overweight and obesity were significantly higher among f

79 ous manifestation of both undernutrition and overweight and obesity, affects most low-income and midd

80 iet which increases adipose tissue favouring overweight and obesity, and housed in either an enriched

81 tive interventions and treatment options for overweight and obesity, and the medical complications an

82 livery, sex, and birth weight with childhood overweight and obesity, but we observed statistically si

83 fiable risk factors for CVD include smoking, overweight and obesity, diabetes, elevated blood pressur

84 Maternal overweight and obesity, later age at childbearing, previ

85 rt of successful prevention and treatment of overweight and obesity, which should be further tested i

86 e to the second resurvey with combination of overweight and obesity.

87 verse association between sleep duration and overweight and obesity.

88 HDL, high triglycerides, and female-specific overweight and obesity.

89 rences in duration and timing in relation to overweight and obesity.

90 undernutrition in the form of stunting, and overweight and obesity.

91 affect the intestinal microbiome, including overweight and obesity; physical activity; and dietary i

92 trition and mental health, using measures of overweight and suicidal ideation and planning which some

93 Urban residents had higher odds of being overweight and/or obese (OR: 1.89, 95% CI: 1.62-2.20) an

94 ds were associated with higher odds of being overweight and/or obese (P-trend < 0.001) and lower odds

95 verweight and/or obesity as 49% of them were overweight and/or obese and nearly 39% at the lowest wea

96 hest wealth quintile were more vulnerable to overweight and/or obesity as 49% of them were overweight

97 d socioeconomic variation in underweight and overweight and/or obesity prevalence in the country, adj

98 872 girls; 664 boys), 7% were overfat, 13.2% overweight, and 9.1% prehypertensive.

99 alth risks (tobacco smoking, binge drinking, overweight, and anaemia); and social determinants of hea

100 ition, stunting, micronutrient deficiencies, overweight, and children not reaching their developmenta

101 e the IOM recommendations for normal weight, overweight, and class 1 obesity.

102 Participants were 113 lean, overweight, and obese African-American and Caucasian-Ame

103 25.0% among children who were normal weight, overweight, and obese, respectively.

104 ood glucose, raised blood pressure, smoking, overweight, and obesity) at the household, community, di

105 19.5% among individuals with normal weight, overweight, and obesity, respectively (P(interaction) <

106 e Diet Index (SDI), and the risk of obesity, overweight, and weight gain in French adults, with a pro

107 as follows: 18.5 to < 25, lean; 25 to < 30, overweight; and >= 30, obese.

108 ividuals who have a normal weight or who are overweight are at high risk if they have an excess of vi

109 should be used for the in vivo situation of overweight-associated type 2 diabetes reflecting both th

110 eight from childhood to adulthood and having overweight at both ages were associated with higher risk

111 Kidney recipients, younger children, those overweight at transplant, and those with higher cumulati

112 h premature menopause were more likely to be overweight, Black, have >=20 pack years of smoking, hist

113 gories: normal weight (BMI 18.5-23.9 kg/m2), overweight (BMI 24.0-27.9 kg/m2), and obese (BMI >= 28 k

114 MI < 22.5), normal weight (BMI = 22.5-24.9), overweight (BMI = 25-29.9), and obesity (BMI >= 30)-and

115 A total of 250 overweight [BMI (in kg/m2) >=27] healthy adults attended

116 A total of 298 overweight (body mass index [BMI] 27.0 to 39.9 kg/m2) ad

117 o 30 kg/m2) is highest among the poor, while overweight (body mass index greater than or equal to 25

118 RSs, based on adult BMI, contribute to child overweight, but in overweight mothers other genetic and

119 serum LCN2 levels in persons with normal or overweight, but not in individuals with obesity.

120 ndency of NR oral availability and safety in overweight, but otherwise healthy men and women, an 8-we

121 Remission from overweight by age 13 years reduced AFF risks, especially

122 Overweight children and adolescents are at high risk for

123 categories than to lower categories, whereas overweight children had similar rates of transition to t

124 he following for underweight, normal weight, overweight, class 1 obesity, class 2 obesity, and class

125 ention in light of rising rates of childhood overweight conditions and dyslipidemia.

126 ted GRSs (SD-units) increased odds for child overweight equally [OR: 1.30 (95% CI 1.16; 1.46) and 1.3

127 r susceptibility to infectious diseases, and overweight, especially in terms of increased risk of add

128 included maternal prepregnancy and paternal overweight, excessive gestational weight gain, raised fa

129 In a subset of 13,160 women, development of overweight from childhood to adulthood and having overwe

130 rage childhood BMI values and development of overweight from childhood to adulthood were associated w

131 in children, including stunted, wasted, and overweight growth.

132 e normal weight (5-84th BMI percentile), 15% overweight (>=85-94th BMI percentile), and 35% obese (>=

133 e following: having a father with T2D, being overweight, having higher blood pressure and higher leve

134 e ratio at 3 months was the dominant path to overweight; higher Enterobacteriaceae/Bacteroidaceae rat

135 MiR-26a is reduced in serum exosomes of overweight humans and is inversely correlated with clini

136 obesity susceptibility phenotypes, and that overweight humans exhibit increased striatal Rgs4 protei

137 We aimed to examine whether parents being overweight in childhood, adolescence, or adulthood is as

138 ntervention that addresses both stunting and overweight in children aged 4 years and older by providi

139 and non-transmitted genetic contributions to overweight in children from the Danish National Birth Co

140 Overweight in children is strongly associated with paren

141 The role of obesity and overweight in occurrence of COVID-19 is unknown.

142 ignificant effect of fathers' onset of being overweight in puberty on offspring's asthma without nasa

143 ct was seen with HDI, with lowest chances of overweight in the lowest tertile compared with the highe

144 obesity by 4.6% (95% UI 1.4%-9.5%) and with overweight (including obesity) by 3.6% (95% UI 1.1%-7.4%

145 Maternal overweight (including obesity) is an established risk fa

146 Adult overweight (including obesity) was defined as a BMI >=25

147 We also discuss that overweight increases are mainly due to very rapid change

148 re to early undernutrition followed by later overweight increases the risk of non-communicable diseas

149 95% CI 1.12-1.68) in diabetes odds among non-overweight individuals (BMI < 25 kg/m2) without a family

150 r reductions in body weight were observed in overweight individuals and those with diabetes and metab

151 However, overweight individuals did not have a higher risk of mor

152 d the lowest HR of all-cause mortality among overweight individuals with high mMED (HR 0.94; 95% CI 0

153 disease, CVD, and all-cause mortality while overweight individuals, despite a higher odds of CAC, sh

154 Being overweight is a known risk factor for asthma, but it is

155 people exhibit probability distortion (they overweight low probabilities), loss aversion (losses loo

156 ecific Qs of the SDI and risk of obesity and overweight (mean follow-up time: 2.8 y).

157 In conclusion, short-term TRF in overweight men affects the rhythmicity of serum and musc

158 Forty-one overweight men and women (BMI: 27-35 kg/m2; aged 40-70 y

159 Nonetheless, HbA1c was lower in overweight men and women in the resveratrol arm.

160 BMI, contribute to child overweight, but in overweight mothers other genetic and environmental facto

161 in a wide BMI range [normal-weight (n = 31), overweight (n = 29), obese (n = 30)] performed a sequent

162 ers (N = 106) and non-responders (N = 97) of overweight non-diabetic middle-aged Danes to two earlier

163 k randomized placebo-controlled trial in 126 overweight, non-insulin sensitive (HOMA-IR >=1.30), Chin

164 Participants were overweight/obese (Body Mass Index [BMI] >= 28 kg/m2), mi

165 mal weight (NW: 18.5-24.9 kg/m2, n = 88) and overweight/obese (OW: 25-35 kg/m2, n = 86) women between

166 We studied 8 overweight/obese adults participating in an acute random

167 risk factor changes maintained over time in overweight/obese adults with MetS.

168 postpartum, 10 metabolites differed between overweight/obese and lean groups with nominal P < 0.05,

169 om Provinces 2, and 7 were less likely to be overweight/obese and more likely to be underweight (refe

170 o-controlled, single ascending-dose study in overweight/obese human participants, subcutaneous BFKB84

171 I (>90% with successful replication in 1,584 overweight/obese individuals from a community-based coho

172 bstructive pulmonary disease (COPD), whereby overweight/obese individuals have improved survival, has

173 profiles, QoL and URTI incidence outcomes in overweight/obese individuals.

174 Compared with normal-weight participants, overweight/obese participants had lower hazard of death

175 Overweight/obese patients (BMI > 25) did not show a sign

176 risk among certain subgroups (eg firstborns, overweight/obese pre-pregnancy BMI), but associations we

177 Prospective analysis of 5373 overweight/obese Spanish adults (aged 55-75 y) with meta

178 Ten overweight/obese subjects received stable isotope infusi

179 ight loss and weight maintenance programs in overweight/obese subjects.

180 utritional intervention was conducted in 305 overweight/obese volunteers involving 2 energy-restricte

181 Overweight/obese women with WL >= 5% did not have a lowe

182 l prepregnancy BMI <25 (lean) or >=25 kg/m2 (overweight/obese).

183 ositive in normal weight vs. 27% positive in overweight/obese).

184 y tackle both undernutrition and problems of overweight, obesity, and diet-related non-communicable d

185 urity, and micronutrient deficiencies, or on overweight, obesity, and dietary excess.

186 ional migrants had roughly twice the risk of overweight/obesity (adjusted mean risk = 51.7% versus 23

187 migrants had significantly higher levels of overweight/obesity (adjusted mean risk = 51.7% versus 37

188 Overweight/obesity (BMI > 25 kg/m2) was above average in

189 Comorbid conditions included overweight/obesity (body mass index >=25), abnormal tota

190 levels (except ALT) and increased risks for overweight/obesity (odds ratio, 6.41 [95% CI, 2.95-15.56

191 een television viewing time in childhood and overweight/obesity across the life course.

192 and transcriptomic profiles from 11 men with overweight/obesity after TRF (8 h day(-1)) and extended

193 quartile were 1.93 (95% CI: 1.69, 2.20) for overweight/obesity and 2.07 (95% CI: 1.74, 2.46) for cen

194 Other factors, such as the prevalence of overweight/obesity and diabetes, have increased consider

195 e context of cancer, the association between overweight/obesity and mortality is complicated by conco

196 udies have investigated associations between overweight/obesity and risk of developing rheumatoid art

197 We examined overweight/obesity and suicidal ideation with planning b

198 also observed an interconnectedness between overweight/obesity and suicide ideation with planning am

199 The overall prevalence of underweight, and overweight/obesity at start of CPD was 8.9% and 19.7%, r

200 t were positively associated with adolescent overweight/obesity but not with suicidal ideation with p

201 ssie-FIT, a weight-loss program for men with overweight/obesity delivered in Australian Football Leag

202 % CI 59% to 29%, p < 0.001) lower chances of overweight/obesity for girls and boys, respectively.

203 across their full ranges, with the risks of overweight/obesity in early (2.0-5.0 years), mid (5.0-10

204 total of 55,295 adolescents had a measure of overweight/obesity status, and 59,061 adolescents report

205 In contrast to overweight/obesity status, suicidal ideation with planni

206 Overweight/obesity was positively related with suicidal

207 ot been previously explored in children with overweight/obesity who present a different white matter

208 otal of 28.8% of boys and 28.1% of girls had overweight/obesity, and 7.5% of boys and 17.5% of girls

209 t increases in central adiposity and risk of overweight/obesity, but there was no consistent pattern

210 nvironmental adversities, including maternal overweight/obesity, diabetes/hypertensive disorders, or

211 They had substantially higher risks of overweight/obesity, hypertension, and depression.

212 term recordings in a cohort of children with overweight/obesity, young adults and middle-age adults.

213 white matter microstructure in children with overweight/obesity.

214 influence growth, size, body composition, or overweight/obesity.

215 ations with adolescent adiposity and risk of overweight/obesity.

216 white matter microstructure in children with overweight/obesity; those findings indicate that the ass

217 s associated with a higher risk of childhood overweight (odds ratio [OR] 1.17 [95% CI 1.02-1.35], P v

218 usted odds of CAC >0 were increased in those overweight (odds ratio, 1.13 [95% CI, 1.1-1.2]) and obes

219 with increasing BMI, that was evident in the overweight (odds ratio, 1.39; 95% CI 1.13 to 1.71; crude

220 its) had a strong association with childhood overweight [Odds ratio (OR): 2.01 (95% confidence interv

221 disrupted probabilistic reasoning, namely to overweighting of sensory evidence, in patients with SCZ.

222 ormally increased probability estimates, and overweighting of sensory information.

223 Among all SIVH, 56.5% were overweight or had obesity, 2.4% reported hypertension, 1

224 alysis, we found that 56.5% of all SIVH were overweight or had obesity, 2.4% reported hypertension, 1

225 y level; and proportion of patients who were overweight or obese (body mass index >= 25 kg/m2).

226 body mass index < 25) than in those who were overweight or obese (body mass index >= 25), at 99.2% ve

227 = 0.42) and proportion of patients who were overweight or obese (OR 1.3; 95% CI 0.70, 2.51; p = 0.34

228 risk of EOCRC, whereas aspirin use and being overweight or obese (relative to normal BMI) were signif

229 the whole, the subjects in both groups were overweight or obese and insulin resistant; they displaye

230 On the other hand, individuals who are overweight or obese can nevertheless be at much lower ri

231 ional design, we investigated postmenopausal overweight or obese female subjects who either underwent

232 ng physically active, were less likely to be overweight or obese in adolescence and early adulthood.

233 ysis revealed a diverse repertoire in SAT of overweight or obese individuals.

234 e to determine whether for young women being overweight or obese is associated with a higher risk of

235 lementation of 1000 mg/d for 6 wk in healthy overweight or obese men and women increased skeletal mus

236 tervention study was conducted in 13 healthy overweight or obese men and women.

237 etyl-CoA, is highly induced in the kidney of overweight or obese patients with CKD and ob/ob BTBR mic

238 In overweight or obese subjects at high cardiovascular risk

239 ctive longitudinal cohort study including 87 overweight or obese women.

240 More than 70% of American adults are overweight or obese, a precondition leading to chronic d

241 th the increasing numbers of persons who are overweight or obese, higher rates of cardiomyopathy can

242 s rising, with nearly 3 in 4 US adults being overweight or obese.

243 US sample, particularly among those who are overweight or obese.

244 given that ~40% of pregnant women are either overweight or obese.

245 wk intervention in adults (18-60 y old) with overweight or obesity (body mass index 25-40 kg/m2).

246 Stable metabolically unhealthy overweight or obesity (MUOO) (HR 2.22, 95% confidence in

247 specimens in the NHANES 2014 and had data on overweight or obesity [body mass index (kg/m2) >=25] and

248 Among primary care patients with overweight or obesity and hypertension or type 2 diabete

249 2%, 12%; P for trend = 0.001) lower risk of overweight or obesity during adolescence and young adult

250 Women with pregestational overweight or obesity exceeded the recommended gestation

251 Additionally, despite the lower risk of overweight or obesity for current smokers, normal weight

252 nancy with body mass index (BMI) and risk of overweight or obesity of grandchildren during adolescenc

253 ed with reduced-fat (0.1-2%) milk, the OR of overweight or obesity was 0.61 (95% CI: 0.52, 0.72; P <

254 nship between smoking amount and the risk of overweight or obesity was U-shaped, and the trends were

255 e evaluation and management of patients with overweight or obesity.

256 no associations were found among those with overweight or obesity.

257 with reduced-fat milk and direct measures of overweight or obesity.

258 he relation between cow-milk fat and risk of overweight or obesity.

259 ternal smoking was associated with childhood overweight (OR 1.21 [95% CI 1.16-1.27], P value < 0.001)

260 2.07-2.23], P value < 0.001), and childhood overweight (OR 1.42 [95% CI 1.35-1.48], P value < 0.001)

261 ransmitted GRS was not associated with child overweight [OR 0.98 (95% CI 0.88; 1.10)] suggesting no s

262 n patients with cardiovascular risk factors (overweight [OR, 2.6, P=0.023], diabetes mellitus type II

263 zole in a sample of 43 adult, normal-weight, overweight, or obese men and women.

264 dy mass index as underweight, normal weight, overweight, or obese.

265 yzed: AAG was associated with higher risk of overweight (p = 0.008), hypertriglyceridemia (p = 0.040)

266 mass index, increasing from 3.90% in lean or overweight participants to 17.73% in obese participants.

267 and CRC was not different between normal and overweight patients (P for interaction = 0.6).

268 After exclusion of 74 (36%) overweight patients from the initial MSK immunotherapy s

269 adipose tissue samples were obtained from 17 overweight patients undergoing elective abdominal surger

270 Overweight patients were excluded from each cohort for o

271 data for analyses, and we excluded 119 (26%) overweight patients, leaving a final cohort of 256 (68%)

272 by nephrectomy; after exclusion of 59 (39%) overweight patients, our final cohort consisted of 93 (6

273 Compared with overweight patients, patients with obesity had higher ri

274 lity was lower in both the normal-weight and overweight populations than in the underweight populatio

275 ial with two 4-wk intervention periods in 20 overweight, postmenopausal women.

276 Overweight prevalence among the richest (45.0% [35.6%-54

277 cate that as countries develop economically, overweight prevalence increased substantially among the

278 Overweight recipients had a higher incidence, 190.4 (95%

279 ndex (z-score; 1.72 aHR; 95% CI: 1.39-2.14), overweight status (2.63 HR; 95% CI: 1.71-4.04), and youn

280 overweight status and offspring's childhood overweight status (odds ratio, 2.23 [95% CI, 1.45-3.42]

281 and age 30 years with offspring's childhood overweight status (potential mediator) and offspring's a

282 Overweight status and asthma have increased during the l

283 between both fathers' and mothers' childhood overweight status and offspring's childhood overweight s

284 Associations of parental overweight status at age 8 years, puberty, and age 30 ye

285 and not mediated through the offspring's own overweight status.

286 effects mediated through the offspring's own overweight status.

287 identified greater body weight reductions in overweight subjects (1.88%, p < 0.0001) and in females (

288 22%; beta = 0.12; 95% CI: (-0.03, 0.27)) and overweight subjects (27%; beta = 0.19; 95% CI: (-0.004,

289 loss during sustained caloric restriction in overweight subjects.

290 pants in Q1 had a higher risk of obesity and overweight than participants in Q5 (HR comparing Q1 with

291 and 1.27 (95% CI, 1.01 to 1.60; P = .04) for overweight versus lean groups and were 1.32 (95% CI, 1.0

292 r 16 comparisons (obese vs normal weight and overweight vs normal weight for 8 outcomes), these findi

293 ne, a higher percentage of participants with overweight was observed in the first SDI Q, reflecting t

294 1 incident cases of obesity and 777 cases of overweight were identified during the follow-up.

295 Simultaneously, overweight (WLZ score >2) was common in both groups of c

296 An 86-year-old, overweight woman was admitted to the emergency departmen

297 e was a lower risk of all-cause mortality in overweight women (hazard ratio, 0.79 [95% CI, 0.63-0.98]

298 A total of 171 overweight women [BMI (kg/m2): 28.3 +/- 1.3; age: 35.2 +

299 = 0.12) and FBG (R(2) = 0.07, P = 0.06); (4) overweight young adults had higher urinary mRNA levels o

300 e risk factors in healthy, lean, or slightly overweight young and middle-aged individuals.