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 se districts more women were obese than were underweight.

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

6 42% (34-50) for wasting and 54% (49-59) for underweight.

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

8 this risk comparable to never being obese or underweight.

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

10 , 35% overweight, 36% normal weight, and 12% underweight.

11 19.6) in those who were stunted, wasted, and underweight.

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

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

14 er determinant of mortality than stunting or underweight.

15 , 52,006 had an optimum BMI, and 13,602 were underweight.

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

17 32% were overweight, and 38% were normal or underweight.

18 tatus included in this study were anemia and underweight.

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

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

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

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

23 compare incidences of stunting, wasting, and underweight.

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

25 .34, 3.02) and 2.60 (95% CI: 2.25, 3.00) for underweight, 1.39 (95% CI: 1.23, 1.57) and 1.73 (95% CI:

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

27 ds than did GAM (7.0%), stunting (19.5%), or underweight (13.3%) in children.

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

29 I at the time of transplantation: BMI <18.5 (underweight), 18.5 to 24.99 (normal weight), 25 to 29.99

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

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

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

33 95% Confidence Interval 1.28, 1.81) for mild underweight; 2.63 (2.20, 3.14) for moderate underweight;

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

35 criteria for stunting (26% [6-54]) or being underweight (36% [3-61]) versus those who did not (25% [

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

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

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

39 31 patients met inclusion criteria; 12% were underweight, 50% normal weight, 11% overweight, and 27%

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

41 e sizes were 2,661,519 (mortality), 587,096 (underweight), 558,347 (stunting), and 568,609 (wasting)

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

43 In 1990, the leading risks were childhood underweight (7.9% [6.8-9.4]), household air pollution fr

44 00, 1.06; P = 0.04), 5% higher odds of being underweight (95% CI: 1.02, 1.09; P < 0.01), and 9% highe

45 HER was higher among subjects who were underweight, African-American, and less educated and sub

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

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

48 Currently underweight AN participants explicitly wanted high-calor

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

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

51 Underweight AN showed abnormal neural activity in striat

52 Underweight AN showed slower response times for earlier

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

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

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

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

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

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

59 relationship, with the highest rates in the underweight and morbidly obese extremes and the lowest r

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

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

62 the LVRS arm than in the medical arm in the underweight and normal weight groups at all follow-up ti

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

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

65 predictive value (PPV) of 72.1% and 68.3% in underweight and normal-weight mothers, respectively.

66 idelines, inadequate GWG can be predicted in underweight and normal-weight mothers, whereas excessive

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

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

69 However, underweight and obesity II/III recipients have significa

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

71 known about the socioeconomic patterning of underweight and overweight as economies move through the

72 e objective was to assess whether burdens of underweight and overweight coexist among lower socioecon

73 a has yet to experience a situation in which underweight and overweight coexist in the low-SES groups

74 The distribution of underweight and overweight in India remains socially seg

75 The coexistence of underweight and overweight in rapidly developing economi

76 Underweight and overweight or obesity (OWO) were defined

77 -15.0+/-4.1%; P<0.001) compared with normal/underweight and overweight patients, respectively.

78 Among both underweight and overweight women, smoking significantly

79 ng, nonsmoking, test for trend p = 0.002 for underweight and p = 0.009 for normal weight) after adjus

80 ntly increased SGA risk (trend p < 0.001 for underweight and p = 0.02 for overweight/obese).

81 blend (UNIMIX) porridge on the prevalence of underweight and stunting among infants in South Kivu Pro

82 served for anthropometric failure related to underweight and stunting.

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

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

85 Underweight and/or lack of control in sexual relations d

86 1.000) for stunting, 0.989 (0.985-0.992) for underweight, and 0.983 (0.979-0.986) for wasting.

87 0.995) for stunting, 0.986 (0.982-0.990) for underweight, and 0.984 (0.981-0.986) for wasting.

88 1.004) for stunting, 0.999 (0.991-1.008) for underweight, and 0.991 (0.978-1.004) for wasting.

89 ren was 9.1%, 29.1% were stunted, 18.6% were underweight, and 2.4% were overweight; among the women,

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

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

92 in seven of 15 countries assessed for being underweight, and in those who participated in few early-

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

94 f global acute malnutrition (GAM), stunting, underweight, and overweight in children; and stunting, u

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

96 versely associated with offspring mortality, underweight, and stunting in infancy and childhood.

97 re likely to have children who were stunted, underweight, and wasted.

98 At follow-up, stunting, underweight, and wasting (using WHO 2006 reference data)

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 esent an optimal foraging strategy for these underweight animals.

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

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

106 95% confidence interval [CI], 0.987-0.988), underweight (ARD, 0.0068; RR, 0.968; 95% CI, 0.968-0.969

107 Obesity and underweight are contraindications to lung transplantatio

108 adults, overweight and obesity (and possibly underweight) are associated with increased all-cause mor

109 reduction of the prevalence of stunting and underweight at 12 mo of age among rural Congolese infant

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

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

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

113 =0.0092), chronic active disease (p=0.0148), underweight at diagnosis (p=0.0271) and during follow-up

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

115 e offspring was strongest for women who were underweight before pregnancy (P for interaction < 0.01).

116 Underweight BMI is an important risk factor for mortalit

117 Severely underweight BMI was associated with increased unplanned

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

119 782 acute ischemic stroke patients, 282 were underweight (BMI < 18.5 kg/m(2)), 2306 were normal-weigh

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

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

122 s 0.86 (0.80-0.93) for participants who were underweight (BMI < 18.5), 1.43 (1.36-1.52) for those who

123 eight (BMI of 25 to < 30 kg/m(2)), or normal/underweight (BMI < 25 kg/m(2)).

124 with STEMI by BMI category were as follows: underweight (BMI <18.5 kg/m(2)) 1.6%, normal weight (18.

125 Among underweight (BMI <18.5) and normal-weight (BMI 18.5-24.9

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

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

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

129 Among men, being underweight (BMI <or=18.5) at age 30, 40, or 45 years in

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

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

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

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

134 DSM-IV eating disorder but were not markedly underweight (body mass index over 17.5), were enrolled i

135 .9 kg/m, hospital mortality was higher among underweight (body mass index, < 18.5; relative risk, 1.3

136 % CI: 3.1, 7.1) in those who were wasted and underweight but not stunted; and 12.3 (95% CI: 7.7, 19.6

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

138 .6, 4.3) among children who were stunted and underweight but not wasted; 4.7 (95% CI: 3.1, 7.1) in th

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

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

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

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

143 Underweight children had a higher risk of mortality and

144 after adjustment for differences in severely underweight children in the 2 groups.

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

146 alth and nutrition programmes usually target underweight children younger than 5 years of age.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

161 ver, in most of sub-Saharan Africa childhood underweight, HAP, and non-exclusive and discontinued bre

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

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

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

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

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

167 However, BMI in the underweight (HR = 1.26, 1.11-1.43; P < 0.001) and obesit

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

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

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

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

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

182 The proportion of underweight individuals decreased from 20.6% before 1990

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

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

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

186 ndency to overweight small probabilities and underweight large probabilities, and those for the motor

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

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

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

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

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

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

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

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

195 according to baseline body mass index (BMI): underweight (<21 kg/m(2)), normal weight (21-25 kg/m(2))

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

197 Obese women and men and underweight men were less likely to have as many childre

198 Underweight men were less likely to have the first, seco

199 plained by the lower marriage probability of underweight men.

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 Figures were classified into underweight, normal weight, overweight, and obese.

203 Underweight, normal weight, overweight, and obesity were

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

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

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

207 Risk-adjusted median survival in the underweight, normal weight, overweight, obesity I, and o

208 e lower overall mortality than those who are underweight, normal-weight, or obese.

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

210 ight/obese and 11.2% (95% CI, 5.3%-23.8%) in underweight/normal weight patients (P = .029).

211 ith increased early preterm birth risk among underweight (odds ratio (OR) = 2.94, 95% confidence inte

212 11, 95% confidence interval: 1.04, 1.18) and underweight (odds ratio = 1.21, 95% confidence interval:

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

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

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

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

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

218 rience dependent overweighting of small, and underweighting of large, probabilities whereas ventral f

219 ent overweighting of unlikely events and the underweighting of nearly certain events.

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

221 0.56 (95% CI: 0.43, 0.73) in adults who were underweight or normal weight, 0.67 (95% CI: 0.57, 0.79)

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

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

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

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

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

227 ardiovascular disease, diabetes, depression, underweight, or activity limitations is associated with

228 t, and overweight in children; and stunting, underweight, overweight, and central obesity in women.

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

230 1.11-1.84), and 1.76 (95% CI, 1.31-2.34) for underweight, overweight, and obese women.

231 In contrast, among persons who were underweight, overweight, and obese, estimated TB inciden

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

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

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

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

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

237 Underweight patients are at higher risk of death after a

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

239 Underweight patients had shorter OT, but stayed 3.3 days

240 Underweight patients had significantly increased risks o

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

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

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

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

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

246 Underweight patients were excluded a priori.

247 ht, 116 were obese, and 16 were underweight; underweight patients were excluded from the analyses bec

248 Underweight patients were older, on average, than normal

249 Underweight patients without comorbidity had a 30-d adju

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

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

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

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

254 l BMI, national percentage of overweight and underweight people) obtained from publicly available dat

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 children that a person will have: obese and underweight persons are hypothesized to have fewer child

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

258 scoring, particularly overweighed apolar and underweighted polar terms.

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 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

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

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

264 We studied 21 underweight, restricting-type AN (age M 22.5, SD 5.8 yea

265 dence interval [CI], 0.970-0.987; P < .001), underweight (RR, 0.971; 95% CI, 0.968-0.974; P < .001),

266 UNIMIX: 46.4%; P = 0.31), the prevalence of underweight (RUCF: 20.4%; UNIMIX: 18.2%; P = 0.42), or w

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

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

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

270 ween groups defined by anemia, stunting, and underweight status to identify optimal recall periods fo

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 Mortality was the primary end point; underweight, stunting, wasting, and anemia were included

274 2, 0.95; P = 0.02) than did normal-weight or underweight subjects.

275 Underweighting the stimulus statistics decreased dyslexi

276 a plethora of clinical symptoms ranging from underweight to nutrient-, vitamin- and electrolyte defic

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

278 Although the ratio of underweight to overweight women decreased from 3.3 in 19

279 d normal weight, 116 were obese, and 16 were underweight; underweight patients were excluded from the

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

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

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

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

284 Underweight was associated with a substantially increase

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

286 Underweight was calculated from anthropometric measureme

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

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

292 months; and a recuperative model, targeting underweight (weight-for-age Z score <-2) children aged 6

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

294 (69-83); the lowest figures for wasting and underweight were both less than 2.5% and the highest wer

295 We also calculated a ratio of the number of underweight women (<18.5) divided by the number of overw

296 005-2006, there were still considerably more underweight women than overweight women.

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

298 cer and some suggestion of poor prognosis in underweight women.

299 excess of overweight women as compared with underweight women.

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