ライフサイエンスコーパス: underweight

1 0, for stunting and 22.1%, 19.4 to 24.8, for underweight).

2 y as separate outcomes (compared with normal/underweight).

3 reater severity of hypertension and low BMI (underweight).

4 early 39% at the lowest wealth quintile were underweight.

5 t, 7% were underweight, and 9% were severely underweight.

6 n child-growth outcomes such as stunting and underweight.

7 eeks, 37% were overweight/obese, and 3% were underweight.

8 t failure if they had severe disease or were underweight.

9 z score or on rates of stunting, wasting, or underweight.

10 compare incidences of stunting, wasting, and underweight.

11 se districts more women were obese than were underweight.

12 in which Indian women are most likely to be underweight.

13 42% (34-50) for wasting and 54% (49-59) for underweight.

14 eight for age, weight for age, stunting, and underweight.

15 tamin A deficiencies, stunting, wasting, and underweight.

16 this risk comparable to never being obese or underweight.

17 od is associated with stunting, wasting, and underweight.

18 ented >/= 3 mo before conception and was not underweight.

19 , 35% overweight, 36% normal weight, and 12% underweight.

20 19.6) in those who were stunted, wasted, and underweight.

21 derweight; and 9.40 (8.02, 11.03) for severe underweight.

22 er determinant of mortality than stunting or underweight.

23 y was markedly increased in association with underweight.

24 re anemia were malaria, poor sanitation, and underweight.

25 5% CI) of mortality was 1.62 (1.50-1.74) for underweight, 0.73 (0.70-0.77) for overweight, 0.61 (0.57

26 zard ratios were 1.06 (95% CI, 0.44-2.28) in underweight, 1.27 (95% CI, 0.87-1.85) in overweight, and

27 confidence interval [95% CI], 0.97-6.50) in underweight, 1.68 (95% CI, 0.92-3.06) in overweight, and

28 o less than 16.0 kg for women categorized as underweight; 10.0 kg to less than 18.0 kg for normal wei

29 Underweight (13%), wasting (4%), and stunting (33%) were

30 s of BMI-defined obesity in this cohort were underweight (13.1%), normal weight (41.4%), overweight (

31 9/100,000), normal weight (154/100,000), and underweight (141/100,000) adolescents.

32 Subjects were classified as underweight (17.9%), normal weight (54.2%), overweight (

33 m, 95% CI -1.78 to -0.65), more likely to be underweight (18 percentage points, 15-21) and anaemic (8

34 th Organization definitions: less than 18.5 (underweight), 18.5 to 29.9 (normal weight), 30 to 34.9 (

35 eight (kg)/height (m)(2)) of less than 18.5 (underweight), 18.5-24.9 (normal weight), 25.0-29.9 (over

36 Nutritional status assessment showed underweight (2.2%), low weight (12.7%), overweight (12.7

37 95% Confidence Interval 1.28, 1.81) for mild underweight; 2.63 (2.20, 3.14) for moderate underweight;

38 Prepregnancy BMI was distributed as follows: underweight, 3.2%; normal weight, 47.5%; overweight, 25.

39 s were included (mean age: 81 y; women: 48%; underweight: 30%; normal weight: 23%; overweight: 33%; o

40 01 HIV/AIDS patients, including 1439 (28.2%) underweight, 3047 (59.7%) normal-weight, 548 (10.7%) ove

41 ly proportional to body mass index category: underweight (31%), normal weight (24%), overweight (19%)

42 lyses, of whom 4,661 (4%) were classified as underweight, 32,134 (30%) as normal weight, 32,278 (30%)

43 assessable body mass index measurements: 6% underweight, 33% normal weight, 28% overweight, and 33%

44 our population, OWO was far more common than underweight (39.7% vs. 3.6%).

45 information on BMI was available, 9.7% were underweight, 39.0% were of normal weight, 34.5% were ove

46 at the region had high rates of stunting and underweight (40% and 31% of children aged <5 years had a

47 31 patients met inclusion criteria; 12% were underweight, 50% normal weight, 11% overweight, and 27%

48 Four percent were underweight, 52% were normal weight, 16% were overweight

49 categories were 2.4% at BMI less than 18.5 (underweight), 61.8% at BMI of 18.5 to 24.9 (normal weigh

50 4 groups based on adjusted BMI percentiles: underweight (8.3%), normal weight (73.9%), overweight (1

51 00, 1.06; P = 0.04), 5% higher odds of being underweight (95% CI: 1.02, 1.09; P < 0.01), and 9% highe

52 (95% CI 1.08-1.92; P < .05), and the OR for underweight adolescents was 0.84 (95% CI 0.65-1.09; P =

53 ed the prevalences of stunting, wasting, and underweight among children and of underweight, overweigh

54 tage points higher than the average fraction underweight among women 15-49 y old.

55 Currently underweight AN participants explicitly wanted high-calor

56 ols; this pattern was partially preserved in underweight AN patients but not in weight-restored ones.

57 e significantly higher in hedonic eating; in underweight AN patients, 2-arachidonoylglycerol concentr

58 Underweight AN showed abnormal neural activity in striat

59 Underweight AN showed slower response times for earlier

60 stunting analysis, 397,080 children for the underweight analysis, 384,163 children for the wasting a

61 I included in this cohort, 5,678 (9.8%) were underweight and 51,896 (90.2%) were normal weight at bas

62 dy period, from 38.7% (95% CI 33.5-44.0) for underweight and 57.1% (51.9-62.4) for stunting.

63 and palmitoylethanolamide were measured in 7 underweight and 7 weight-restored AN patients after eati

64 elevated in adolescent anorexia nervosa when underweight and after weight restoration.

65 f SMM was within the IOM recommendations for underweight and class 2 obesity, but above the IOM recom

66 ip between OMT and BMI with patients who are underweight and extremely obese less likely to receive O

67 m disorders and mirror phenotypes of obesity/underweight and macrocephaly/microcephaly.

68 atients, and (2) is the relationship between underweight and mortality also observed in patients with

69 tween combinations of stunting, wasting, and underweight and mortality among children <5 y of age.

70 e of PD BMI SDS tended to increase on CPD in underweight and normal weight children, whereas it decre

71 to compare short- and long-term mortality in underweight and normal weight patients (n = 57,574).

72 Survival curves for underweight and normal weight patients separated early a

73 there was significant difference between the underweight and normal-weight groups after adjustment fo

74 on was associated with lower mortality among underweight and normal-weight patients.

75 vigorous exercise reduced the risk of LGA in underweight and normal-weight women only and was not ass

76 hs; similar findings were observed among the underweight and normal-weight women, but no associations

77 SGA and decreased risk of LGA but only among underweight and normal-weight women.

78 e outcome (P<0.0001) were higher in severely underweight and obese subjects.

79 Among Danish women, underweight and obesity were associated with increased r

80 al geographic and socioeconomic variation in underweight and overweight and/or obesity prevalence in

81 Both underweight and overweight are prevalent in pediatric ES

82 Underweight and overweight or obesity (OWO) were defined

83 -15.0+/-4.1%; P<0.001) compared with normal/underweight and overweight patients, respectively.

84 The final samples for wasting, underweight and stunting include 668.463, 693.376, and 6

85 king, consuming smokeless tobacco, and being underweight and the district-level predictors of living

86 ted patients suggested a direct link between underweight and the mortality rate of AIDS.

87 In addition, 13.8% of women start pregnancy underweight and the rate of obesity increases during pre

88 Elderly persons who were underweight and those who were obese had a significantly

89 1.000) for stunting, 0.989 (0.985-0.992) for underweight, and 0.983 (0.979-0.986) for wasting.

90 0.995) for stunting, 0.986 (0.982-0.990) for underweight, and 0.984 (0.981-0.986) for wasting.

91 1.004) for stunting, 0.999 (0.991-1.008) for underweight, and 0.991 (0.978-1.004) for wasting.

92 sizes were 462,854 for stunting, 485,152 for underweight, and 459,538 for wasting.

93 overweight, 53% were normal weight, 7% were underweight, and 9% were severely underweight.

94 imate-related increases in the prevalence of underweight, and most climate-related deaths were projec

95 stence of 19 combinations of women's anemia, underweight, and overweight and children's stunting, und

96 The overall prevalence of underweight, and overweight/obesity at start of CPD was

97 ., breast milk substitutes, infection rates, underweight, and pubertal timing) differ between these s

98 The secondary outcomes were stunting, underweight, and wasting at a 12 month follow-up.

99 ociations between maternal BMI and stunting, underweight, and wasting in U5s over time.

100 hs, and the outcome variables were stunting, underweight, and wasting.

101 ure to first-line ART, entry to adolescence, underweight, and/or undetectable drug levels were at hig

102 underweight; 2.63 (2.20, 3.14) for moderate underweight; and 9.40 (8.02, 11.03) for severe underweig

103 f LOS >3 days were higher in adults who were underweight (aOR, 1.6; 95% CI, 1.1-2.4), and odds of mec

104 ratio [aOR], 2.2), unvaccinated (aOR, 3.7), underweight (aOR, 6.3), and too young to be immunized (a

105 sting: aOR 0.90, 95% CI 0.83-0.99, p = 0.03; underweight: aOR 0.85, 95% CI 0.80-0.90, p < 0.001; any

106 Obesity and underweight are contraindications to lung transplantatio

107 While dual burdens of anemia, stunting, and underweight are prevalent, there is no evidence of clust

108 ldren (5.23, 2.61-10.5), fewer children were underweight at 18 months (0.81, 0.66-0.99), and fewer in

109 Being either overweight or underweight at ART initiation was associated with height

110 ng the F2 generation, IUGR lineage rats were underweight at birth (6.7 vs. 8.0 g, P < 0.0001) and obe

111 Being obese or underweight at diagnosis and for >/= 50% of the time bet

112 ertain events, describes humans' tendency to underweight base rate (prior) relative to individuating

113 elated with individuals' overall tendency to underweight base rate.

114 Underweight BMI is an important risk factor for mortalit

115 Severely underweight BMI was associated with increased unplanned

116 Obesity and underweight BMI were associated with increased risk of c

117 e high-risk from low-risk individuals within underweight (BMI < 18.5 kg/m(2)) or obese (BMI >= 30 kg/

118 782 acute ischemic stroke patients, 282 were underweight (BMI < 18.5 kg/m(2)), 2306 were normal-weigh

119 overweight/obese (BMI, >/= 25), and 8% were underweight (BMI < 18.5) at baseline.

120 Underweight (BMI < 18.5) was associated with a 35% incre

121 evious 6 mo, and considered 4 BMI categories-underweight (BMI < 22.5), normal weight (BMI = 22.5-24.9

122 nal body mass index (BMI) was categorized as underweight (BMI <18.5 kg/m(2)), normal weight (BMI 18.5

123 Being underweight (BMI <18.5) was associated with increased ri

124 nfections at multiple and unspecified sites (underweight (BMI <18.5): hazard ratio (HR) = 4.26, 95% c

125 7809 (4.0%) were categorized at baseline as underweight (BMI <18.5); 133 788 (68.0%), normal weight

126 a nonlinear fashion, with patients who were underweight (BMI <18.5; HR, 2.65; 95% CI, 1.63-4.31) and

127 ing to prepregnancy body mass index (BMI) in underweight (BMI<18.5 kg/m(2)), normal weight (BMI=18.5-

128 Five groups were stratified by BMI-underweight (BMI, <18.5 kg/m(2)), normal (BMI, 18.5-24.9

129 as found between maternal BMI categorized as underweight [BMI (kg/m(2)) <18.5], healthy BMI (BMI: 18.

130 tegorized based on standard criteria (normal/underweight, BMI<25 kg/m(2) [n=486]; overweight, 25</=BM

131 nesthesiologists risk classification 4 or 5, underweight body mass index, noncardiac surgery, history

132 Body mass index in six categories: underweight (body mass index < 18.5 kg/m), normal weight

133 .9 kg/m, hospital mortality was higher among underweight (body mass index, < 18.5; relative risk, 1.3

134 % CI: 3.1, 7.1) in those who were wasted and underweight but not stunted; and 12.3 (95% CI: 7.7, 19.6

135 d and underweight but not wasted; wasted and underweight but not stunted; and stunted, wasted, and un

136 .6, 4.3) among children who were stunted and underweight but not wasted; 4.7 (95% CI: 3.1, 7.1) in th

137 ; wasted only; underweight only; stunted and underweight but not wasted; wasted and underweight but n

138 We found 52.2% of CLD patients underweight by weight for age (W/A); 50.2% were stunted

139 The prevalence of the obese mother-underweight child pair was low.

140 ified relationship among age, fertility, and underweight; childbearing is concentrated in the narrow

141 ed the higher risk of death in obese but not underweight children (HR, 1.09; 95% CI, 0.96 to 1.24).

142 Underweight children had a higher risk of mortality and

143 linics were screened, and between six and 25 underweight children were enrolled from each clinic.

144 Obese and underweight children were less likely to receive a kidne

145 weight, and available formulations, in which underweight children would receive the same drug doses a

146 Even if the effect were greater among underweight children, a nontargeted intervention would r

147 Participants were underweight children, defined as a weight-for-age Z scor

148 From the 2423 (20%) underweight children, we excluded 656 (27%) children who

149 that 42.2% of prepregnant women in India are underweight compared with 16.5% of prepregnant women in

150 n 1990 to tenth place in 2010, and childhood underweight declined from fifth to 11th place.

151 eased from 14% to 18%, whereas prevalence of underweight decreased from 12% to 9% during this period.

152 ht but not stunted; and stunted, wasted, and underweight (deficit defined as < -2 z scores).

153 In addition, underweight during course of the disease (p=0.012) was a

154 a simultaneous decrease in the prevalence of underweight (estimated decrease of 0.06% per year, 95% C

155 of the following characteristics: clinically underweight, exhaustion, low energy expenditure, slow wa

156 Three children, all HIV-infected, were underweight for age.

157 Levels of prepregnancy underweight for India are almost seven percentage points

158 trition on lung function was observed in the underweight group and in pancreatic- insufficient patien

159 djusted HR of coronary heart disease for the underweight group was 1.25 (1.05-1.49) in women and 1.09

160 t increment in BMI, 1.10 (0.91-1.32) for the underweight group, 0.99 (0.92-1.07) for the overweight g

161 e regression analyses showed that within the underweight group, an increase in BMI resulted in improv

162 In contrast, adults who were underweight had longer LOS.

163 Child stunting, wasting, and underweight have been individually associated with incre

164 tios for hospital discharge were lower among underweight (hazard ratio, 0.71; p < 0.001) and obese (h

165 ften overweight low probability outcomes and underweight high probability outcomes.

166 als overweighted low probability rewards and underweighted high probability rewards.

167 an age of onset dependent influence towards underweight, higher disease activity and a more intensiv

168 fidence interval [95% CI], 1.03 to 1.32) and underweight (HR, 1.26; 95% CI, 1.09 to 1.47) children th

169 no association was observed between maternal underweight (HR, 1.46; 95% CI, 0.90-2.35), overweight (H

170 95% CI: 3.38, 7.95), and fungal infections (underweight: HR = 3.19, 95% CI: 1.53, 6.66).

171 terization of I-Rai1 mice showed significant underweight, hyperactivity and impaired learning and mem

172 hin 2 months of age and became malnourished, underweight, hypoglycemic, and hypothermic.

173 eady increase since 1980 and exceeds that of underweight in all regions.

174 year of survey on the risks of stunting and underweight in children.

175 22% of children were underweight in CLTS compared with 26% in control village

176 Being underweight in middle age and old age carries an increas

177 s increased with obesity in infants and with underweight in older children.

178 s in Georgia, Chile, and China, and the most underweight in rural areas of Timor-Leste, India, Niger,

179 ting of prior information is not chronically underweighted in autism, as proposed by simple Bayesian

180 experimental approaches suggest that Tyr is underweighted in the prediction algorithm due to the abs

181 nted as obese, overweight, normal weight, or underweight, in contrast to patients who had none of the

182 tricts, more women were overweight than were underweight; in 49 of these districts more women were ob

183 l-weight patients and increased mortality in underweight individuals (odds ratio, 1.51; 95% confidenc

184 ediating aspects of cognitive dysfunction in underweight individuals with AN.

185 rved in pregnant women prior to the birth of underweight infants and enabling the production of proge

186 robiota from healthy or severely stunted and underweight infants; age- and growth-discriminatory taxa

187 eficiency, malaria, breastfeeding, stunting, underweight, inflammation, low socioeconomic status, and

188 n to the salient gift offer, causing them to underweight less salient intrinsic motives.

189 variables of stunting (low height-for-age), underweight (low weight-for-age), wasting (low weight-fo

190 Prevention body mass index z score criteria: underweight (< -1.89), normal weight (-1.89 to +1.04), o

191 x (BMI; weight (kg)/height (m)2) categories (underweight (<-2 standard deviations (SDs) of BMI z scor

192 line body mass index (BMI) was classified as underweight (<18.5 kg/m(2)), normal (18.5-24.9 kg/m(2)),

193 We used BMI to assess underweight (<18.5 kg/m(2)), overweight (>/=23.0 to <27.

194 eight in meters squared) categories included underweight (<18.5), normal BMI (18.5-24.9), overweight

195 e grouped into predefined weight categories: underweight (<1st percentile), reference (1st-74th perce

196 We used an inclusive definition of underweight (<20 kg/m(2)) to achieve sufficient case num

197 ain a percentile ranking and then grouped as underweight (<5th percentile), normal weight (5th percen

198 Reported drought was associated with underweight (marginal risk ratio (RR) = 1.18, 95% confid

199 precipitation trends were protective against underweight (marginal RR per 50-mm increase = 0.94, 95%

200 5; 95% CI: 1.00, 1.10); in 2011, children of underweight mothers had a 21% higher risk of being stunt

201 In 1996, children of underweight mothers had a 5% higher risk of being stunte

202 Underweight, normal weight, overweight, and obesity were

203 types defined by body mass index categories (underweight, normal weight, overweight, and obesity) and

204 Survival was estimated by BMI category (underweight, normal weight, overweight, class 1 obesity,

205 the recommendations, were the following for underweight, normal weight, overweight, class 1 obesity,

206 that were stratified by BMI in 5 categories, underweight, normal weight, overweight, obese, and morbi

207 ients were categorized by body mass index as underweight, normal weight, overweight, or obese.

208 The cumulative mortality of underweight, normal-weight, and overweight were 2.4/100

209 urements as a function of gestational age in underweight, normal-weight, overweight, and obese class

210 In mutually adjusted models, male sex, underweight, obesity, education, poor self-rated health,

211 Obese (odds ratio, 1.28; P=0.008), severely underweight (odds ratio, 1.29; P<0.0001), and underweigh

212 nderweight (odds ratio, 1.29; P<0.0001), and underweight (odds ratio, 1.39; P=0.002) subjects were as

213 the odds of 60-day mortality were higher in underweight (odds ratio, 1.53; p < 0.001) children.

214 hospital-acquired infections were higher in underweight (odds ratio, 1.88; p = 0.008) and obese (odd

215 sociated with a reduced probability of being underweight of 1.4 percentage points (95% confidence int

216 ith overweighting of small probabilities and underweighting of large probabilities.

217 ons: no deficits; stunted only; wasted only; underweight only; stunted and underweight but not wasted

218 four BMI categories from 1990 through 2030: underweight or normal weight (BMI [the weight in kilogra

219 0.56 (95% CI: 0.43, 0.73) in adults who were underweight or normal weight, 0.67 (95% CI: 0.57, 0.79)

220 on the basis of measured height and weight (underweight or normal weight, overweight, and obesity).

221 ry interventions in low-income countries and underweight or nutritionally at-risk populations increas

222 Classification as underweight or obese was associated with higher risk of

223 ysical activity guidelines, and being either underweight or obese were associated with poor health st

224 sis initiation were more often white, girls, underweight or obese, and more likely to have GN as the

225 The proportion of children with underweight or stunting at 2 years of age halved during

226 liparity (OR(adj) 1.81, 95% CI [1.60-2.05]), underweight (OR(adj) 1.61, 95% CI [1.36-1.92]) and socio

227 , 95% CI: 1.62-2.20) and lower odds of being underweight (OR: 0.81, 95% CI: 0.70-0.93) than rural res

228 ratory infections (ARIs), stunting, wasting, underweight, or anaemia in children aged 0-5 years.

229 ght, and overweight and children's stunting, underweight, overweight, and anemia at the individual an

230 ces in 5-year cumulative incidence of CKD in underweight, overweight, and obese participants compared

231 1.11-1.84), and 1.76 (95% CI, 1.31-2.34) for underweight, overweight, and obese women.

232 sting, and underweight among children and of underweight, overweight, and obesity in women for all 14

233 7 (95% CI, 0.85-0.89), for patients who were underweight, overweight, obese, and extremely obese, res

234 se (P-trend < 0.001) and lower odds of being underweight (P-trend < 0.001).

235 (P = .05), while each 1-unit BMI gain among underweight participants was associated with a 9.32-mg/L

236 erleukin 18 (P = .02) levels were smaller in underweight participants.

237 mortality, with risks quickly increasing for underweight patients (body mass index < 18.5 kg/m).

238 Strategies to promote weight gain in underweight patients after AMI are worthy of testing.

239 Underweight patients are at higher risk of death after a

240 Underweight patients comprised 12 623 (1.1%), normal BMI

241 After adjustment, underweight patients had a 13% higher risk of 30-d death

242 Underweight patients had significantly increased risks o

243 Although normal/underweight patients had the worst overall survival (log

244 remained separate over 17 y, suggesting that underweight patients remained at a significant survival

245 obese and overweight patients and higher in underweight patients than in those with normal body mass

246 Crude mortality was significantly higher for underweight patients than normal weight patients at 30 d

247 tter volume and cortical thinning in acutely underweight patients to normalize following successful t

248 Underweight patients were excluded a priori.

249 Underweight patients were older, on average, than normal

250 Underweight patients without comorbidity had a 30-d adju

251 es explain the higher mortality after AMI in underweight patients, and (2) is the relationship betwee

252 Compared with normal/underweight patients, obese patients were younger and mo

253 es mellitus, and dyslipidemia than normal or underweight patients.

254 Compared with people of a healthy weight, underweight people (BMI <20 kg/m(2)) had a 34% higher (9

255 being 0.33% (95% CI 0.24-0.42; p<0.0001) for underweight people, 0.50% (0.47-0.53; p<0.0001) for norm

256 ed increased inflammation, weight gain among underweight persons predicted reduced inflammation.

257 scoring, particularly overweighed apolar and underweighted polar terms.

258 eight and overweight populations than in the underweight population, with an adjusted hazard ratio (A

259 lity or better functional recovery but being underweight predicted unfavourable outcomes.

260 had a greater effect on preterm births among underweight pregnant women (BMI <18.5 kg/m(2); RR 0.84,

261 ate relevant individual characteristics (ie, underweight, probability of receiving oral rehydration t

262 49.1-53.1] in Niger), 22.7% (22.5-22.9) were underweight (ranging from 1.8% [1.3-2.3] in Jordan to 41

263 In many cases, experience leads people to underweight rare events.

264 to be overweight/obese and more likely to be underweight (referent: province-1).

265 The prevalence of stunting and underweight remained unacceptably high (30.0%, 95% CI 27

266 stis jirovecii infection, moderate or severe underweight, severe acute malnutrition, disease duration

267 AN, particularly during the acute, underweight state of the illness, has been associated wi

268 Obese or underweight status at start of each treatment course was

269 f the effect of azithromycin on mortality by underweight status was examined on the additive and mult

270 ight; however, no protection was found among underweight, stunted, or wasted children.

271 All degrees of underweight, stunting and wasting were associated with s

272 bined Zn+MV did not reduce the incidences of underweight, stunting, or wasting in Tanzanian infants.

273 ribution on child mortality was assessed for underweight subgroups using weight-for-age Z-score (WAZ)

274 Although mortality rates were higher in the underweight subgroups, this study was unable to demonstr

275 2, 0.95; P = 0.02) than did normal-weight or underweight subjects.

276 cantly affected the degree to which subjects underweight the base rate of reward probability.

277 Underweighting the stimulus statistics decreased dyslexi

278 re considered at risk of uremic anorexia and underweight they are also exposed to the global obesity

279 7% (2706 of 7809) among women categorized as underweight to 61.1% (592 of 969) among women categorize

280 mass index (BMI) spans the entire range from underweight to obese.

281 djusted body mass index (BMI) percentiles as underweight (UW), at risk of UW (RUW), normal, overweigh

282 Baseline underweight (vs normal weight; RR, 2.41 [95% CI, 1.21-4.

283 The baseline prevalence of stunting was 14%, underweight was 8%, and wasting was 1% and did not diffe

284 Underweight was associated with 1.3 (p = 0.001) and 1.6

285 Underweight was associated with a higher risk of long-te

286 eater caudate prediction error response when underweight was associated with lower weight gain during

287 Underweight was defined as body mass index less than 18.

288 his large cohort of critically ill patients, underweight was independently associated with a higher h

289 multilevel Cox proportional hazard analysis, underweight was independently associated with a higher h

290 The increased risk of CD in underweight was maintained up until age 60 not explained

291 Underweight was most prevalent in South and Southeast As

292 We considered 3 outcomes (underweight, wasting, and stunting) and measured precipi

293 In those underweight (WAZ < -2) at baseline, cotrimoxazole use wa

294 ) times, respectively, more likely to become underweight (weight-for-age z score <-2) after adjustmen

295 f age, prevalences of stunting, wasting, and underweight were 19.8%, 6.0%, and 10.8%, respectively.

296 (69-83); the lowest figures for wasting and underweight were both less than 2.5% and the highest wer

297 Late dialysis start is associated with underweight, while enteral feeding can lead to obesity.

298 preterm birth compared with adequate GWG in underweight women aged 20-29 years (2.26 [1.06-4.85]) an

299 Increased incidence of sPTB occurred in underweight women gaining weight below quartile 1 (14.8%

300 Interestingly, underweight women who older than 35 years with excess GW

301 ormal BMI) were 28.8 (95% CI, 12.2-47.2) for underweight women, 17.6 (95% CI, 10.5-25.1) for overweig

302 Adjusted ORs were 1.2 (95% CI, 1.0-1.3) for underweight women; 1.1 (95% CI, 1.1-1.2) for overweight