ライフサイエンスコーパス: youth

1 turation that supports executive function in youth.

2 e compared with HIV-exposed uninfected (HEU) youth.

3 bility and reducing STIs among former foster youth.

4 trol mechanisms predicted in child vs. older youth.

5 ity, callousness) in conduct-disordered (CD) youth.

6 th behavior change intervention modality for youth.

7 ture anhedonic symptoms among healthy female youth.

8 isfolding in hereditary diabetes mellitus of youth.

9 alities across neuropsychiatric disorders in youth.

10 linical screening tool to identify high-risk youth.

11 ressions) may capture attention in irritable youth.

12 iation with dimensions of psychopathology in youth.

13 s severe psychosis spectrum (PS) symptoms in youth.

14 urroundings, and severe violent injury among youth.

15 g peripheral perception of visually impaired youth.

16 of behaviorally and emotionally dysregulated youth.

17 ut negatively predicted connectivity in PTSD youth.

18 but negatively predicted activation in PTSD youth.

19 bly detect impaired attention functioning in youth.

20 ivity to happy faces, the reverse of healthy youth.

21 to the present-day) of its host star in its youth.

22 more judicious application of treatments for youth.

23 classes of psychotropic medications among US youths.

24 ogy and imaging data were available for 1538 youths.

25 ficit/hyperactivity disorders and 22 healthy youths.

26 sample was limited to justice-involved male youths.

27 tment-emergent risk of type 2 diabetes among youths.

28 f callous-unemotional traits, and 26 healthy youths.

29 in a single ED and involved substance-using youths.

30 physiology of commonly occurring symptoms in youths.

31 improve treatment for severe irritability in youths.

32 de early intervention strategies for at-risk youths.

33 been documented for perinatally HIV-infected youth 10 to 21 years of age compared with HIV-exposed un

34 A total of 56 youths 10-18 years of age (23 of them female) participat

35 Black youths (1367 [10.8%] of the sample) had an 11% and Latin

36 [10.8%] of the sample) had an 11% and Latino youths (1450 [11.4%] of the sample) had an 18% decreased

37 ess likely in HIV-infected youth than in HEU youth (17/183 [9%] vs 21/126 [17%]; adjusted PR, 0.47; P

38 city to promote or modify health behavior in youth 18 years or younger.

39 terventions for improving health outcomes in youth 18 years or younger.

40 ldren in the National Longitudinal Survey of Youth 1979 (1981-2014).

41 ldren of the National Longitudinal Survey of Youth 1979 (CNLSY79), we find large initial effects on c

42 the ongoing National Longitudinal Survey of Youth-1979 (NLSY79) were analyzed.

43 spective, longitudinal cohort study examined youths 21 years or younger with newly diagnosed diabetes

44 stigate 8 positive outcomes among delinquent youth 5 and 12 years after detention, focusing on sex an

45 om 4 geographically diverse, large states of youths 5 to 20 years of age who initiated antidepressant

46 By age 18, 70 youths (51%) initiated moderate to heavy alcohol use, an

47 reatment (59087 female youths and 60521 male youths; 54.7% between 5 and 14 years of age) with a mean

48 a T1-weighted MRI scans were acquired in 151 youths (75 anxious, 76 HV; ages 8-18).

49 METHOD: Prior to treatment, youths (8-17 years old) with anxiety disorders (N=54), a

50 Compared with youth, a higher number of concussion symptoms were repor

51 by 6 years compared with white youths (black youths: adjusted hazard ratio [HR], 0.89; 95% CI, 0.79-0

52 research has examined concussion across the youth/adolescent spectrum and even less has examined con

53 US study of long-term outcomes of delinquent youth after detention, participants were interviewed in

54 ve impacts resulting from a single season of youth (age range, 8-13 years) football on changes in spe

55 bo-controlled randomized clinical trial, 142 youths (age range, 7-17 years) enrolled between June 1,

56 As youth aged, the number of positive outcomes increased on

57 In this study of youths aged </=21 years with newly diagnosed T1DM or T2D

58 Youths aged </=21 years with newly diagnosed T1DM or T2D

59 ed to create a sample of 13,052 children and youths aged 0 to 17 years.

60 The survey participants included youths aged 10 to 17 years and caregivers of children ag

61 Youths aged 13 to 24 years old living with human immunod

62 1170 male youths aged 14 to 19 years who had been found guilty of

63 In this cohort of 119608 youths aged 5 to 20 years who initiated antidepressant t

64 Youths aged 7-17 years with DSM-IV OCD and typically dev

65 assisted referral to care (ARC) studied 185 youths (aged 8.0-16.9 years) from 9 pediatric clinics in

66 plete health insurance claims of 9.7 million youth, aged 13 to 25 years were analyzed, identifying in

67 Substance-using youths, aged 14 to 24 years, seeking ED care for an assa

68 sentation of diffusion imaging data from 882 youth ages 8-22 to show that white matter connectivity b

69 The referred sample included youths ages 8 to 17 years, 93 youths with anxiety, disru

70 s of cortical development in a sample of 934 youths ages 8-20, who completed structural neuroimaging

71 orders, we capitalized upon a sample of 1042 youths (ages 11-23 years) who completed cross-sectional

72 rtance of the supportive housing program for youths aging out of foster care and the need for such pr

73 proximately 40% of tobacco users, adults and youths alike, used multiple tobacco products; cigarettes

74 e 2 diabetes could have increasing effect in youth and adults under 45 years of age.

75 mination of the neural basis of cognition in youth and aging to delineate the underlying mechanisms o

76 Similar trends were observed for US youth and in France.

77 Severe obesity affects 4% to 6% of US youth and is increasing in prevalence.

78 ppocampus involvement in context encoding in youth and lack of age-related variation from middle chil

79 regulation could potentially curb use among youth and possibly limit the future population-level bur

80 estimates of emerging tobacco products among youth and suggest that estimates generated by means of c

81 esponse to SSRI and CBT treatment in anxious youth and that neuroimaging may be a useful tool for pre

82 has been increasing rapidly, particularly in youth and young adults.

83 iated antidepressant treatment (59087 female youths and 60521 male youths; 54.7% between 5 and 14 yea

84 nd externalised destructive behaviours among youths and young adults and might provide a timely oppor

85 ntifying previously undiagnosed HIV-positive youths, and linking HIV-negative youths to relevant prev

86 Denominators (4.9 million youths annually) were obtained from the U.S. Census or h

87 Former foster youth are at increased risk of housing instability and s

88 human immunodeficiency virus (HIV)-infected youths are unaware of their serostatus (approximately 60

89 The study included 1829 youth at baseline (1172 males and 657 females; mean [SD]

90 al tool for assessing the probability that a youth at familial risk for BPSD will develop new-onset B

91 lator to predict the 5-year onset of BPSD in youth at familial risk for BPSD.

92 Data were collected from local youth at high risk of HIV infection and, specifically, s

93 ive delay, and faces tasks-were collected in youths at age 14, as part of the IMAGEN study.

94 Youths at clinical high risk (CHR) for psychosis exhibit

95 ata may be the best strategy for identifying youths at risk for initiating alcohol use during adolesc

96 aches to promote uptake of HIV testing among youths at risk is critical.

97 abolic risk, which could be used to identify youths at risk.

98 ss than 24 hours after injury were larger in youth athletes than high school athletes (odds ratio, 6.

99 ulties were measured in typically-developing youth (Avon Longitudinal Study of Parents and Children,

100 bservations: Low back pain is rarely seen in youth before they reach school age.

101 e examination by 6 years compared with white youths (black youths: adjusted hazard ratio [HR], 0.89;

102 ainment (as a proxy for cognitive ability in youth), BMI, height, systolic blood pressure, coronary a

103 eases in violence tend to follow population "youth bulges." Large numbers of adolescents in equatoria

104 Anxiety and depression affect 30% of youth but are markedly undertreated compared with other

105 e positively predicted activation in healthy youth but negatively predicted activation in PTSD youth.

106 icted amygdala-vmPFC connectivity in healthy youth, but negatively predicted connectivity in PTSD you

107 and the risk of incident type 2 diabetes in youths by antidepressant subclass and according to durat

108 National HIV/AIDS Strategy specifically for youths can improve coordination of federal resources as

109 Relative to CD/CU- and healthy control youths, CD/CU+ youths showed abnormally increased BLA co

110 st, compared with CD/CU- and healthy control youths, CD/CU+ youths showed diminished CMA connectivity

111 were created to analyze brain scans of 1189 youths collected as part of the Philadelphia Neurodevelo

112 ck (105 [14.8%]) and Hispanic (1165 [20.0%]) youth compared with non-Hispanic white (17119 [23.1%]) y

113 Furthermore, for youths currently using SSRIs or SNRIs, the risk of type

114 sensitivity and precision on an independent youth dataset (n = 32).

115 Compared with HEU youth, HIV-infected youth demonstrated decreased reversibility of obstructiv

116 tand how brain reward networks contribute to youth depression.

117 vel approach to HIV care for newly diagnosed youths designed to bridge some of these fragmentations b

118 e studies including 1416 unique children and youth diagnosed with FASD (age range, 0-16.4 years) were

119 Among 20822 youth diagnosed with OUD (0.2% of the 9.7 million sample

120 f buprenorphine and naltrexone receipt among youth, dispensing increased over time.

121 correlates of psychotic-like experiences in youths during tasks involving inhibitory control, reward

122 weeks of referral, with almost 90% of those youths engaged in subsequent HIV care.

123 onately sampled group of non-assault-injured youth enrolled from September 2009 through December 2011

124 tilize adult samples, and the few studies in youths examine small samples, primarily with volume-base

125 Anxious relative to healthy youths exhibited thicker cortex in the left ventromedial

126 ce is increasingly invoked in discussions of youth-focused policies.

127 Surveillance System included more than 3000 youth football athletes aged 5 to 14 years from 118 team

128 The Youth Football Surveillance System included more than 30

129 The Pathways to Desistance study, a study of youths found guilty of a serious criminal offense in Phi

130 targeted training for culturally competent, youth-friendly care, and intensive motivational intervie

131 Cross-agency collaboration, youth-friendly linkage to care services, community mobil

132 ularly challenging for racial minorities and youths from less affluent families.

133 At baseline, youths from London and Dublin sites were assessed on psy

134 Systematic engagement of youth groups has a great future in polio interruption as

135 vement in immunization coverage 1 year after youth groups' engagement in both LGAs.

136 HIV-infected youth had lower association of specific IgE levels to se

137 A total of 8.9% of youths had used a tobacco product in the previous 30 day

138 lts were current users of tobacco, and 9% of youths had used tobacco in the previous 30 days.

139 en and adolescents with ADHD, and that these youth have a deficiency in n-3 PUFAs levels.

140 Longitudinal studies of delinquent youth have focused on criminal recidivism, not on psycho

141 Ethnicity moderated outcomes, with Hispanic youth having substantially stronger response to BBT (76.

142 orts-related concussions were reported among youth, high school, and college-level football athletes

143 Compared with HEU youth, HIV-infected youth demonstrated decreased reversi

144 ratio [HR], 0.89; 95% CI, 0.79-0.99; Latino youths: HR, 0.82; 95% CI, 0.73-0.92).

145 rtion of previously undiagnosed HIV-positive youths identified, and rates of linkage to prevention se

146 gs highlight racial/ethnic disparities among youth in achieving positive outcomes after detention.

147 valence estimates of FASD among children and youth in the general population by country, by World Hea

148 global prevalence of FASD among children and youth in the general population was estimated to be 7.7

149 ed the prevalence of FASD among children and youth in the general population, used active case ascert

150 d not differ from each other or from healthy youths in face emotion labeling accuracy.

151 Youths in the BBT group (n = 95), compared with those in

152 (PBMCs) among 61 perinatally HIV-1-infected youths in the Pediatric HIV/AIDS Cohort Study who achiev

153 OCD youth-in a randomized rater-blinded trial-were re-scanne

154 ces of both type 1 and type 2 diabetes among youths increased significantly in the 2002-2012 period,

155 gs for adults, the use of regular care among youths increased slightly and the use of involuntary com

156 In a large cohort of youths insured by Medicaid, the use of SSRIs or SNRIs-th

157 In male youths involved in the criminal justice system, the rela

158 IR in obese youth is a complex phenomenon that defies explanation by

159 Interpersonal firearm violence among youth is a substantial public health problem, and emerge

160 Bone accrual during youth is critical to establish sufficient strength for l

161 ools, primary care, social services, and the youth justice system.

162 We enrolled 100 Latina girls in a youth-led, community-based participatory research interv

163 ed niche remobilizes stem cells and restores youth-like muscle regeneration.

164 9% overall, and by 2010, 75% of children and youths <20 years were on prophylaxis.

165 Youth may need additional contact with clinical staff me

166 ettes with higher nicotine concentrations by youths may increase subsequent frequency and intensity o

167 lts (18 to 24 years of age), male adults and youths, members of racial minorities, and members of sex

168 e called mutant INS gene-induced diabetes of youth (MIDY), there is decreased insulin secretion when

169 data from the National Longitudinal Study of Youth (n = 7,617) and the Health and Retirement Study (n

170 ND youths (n = 150) ages 9 to 24 years were matched to 22q1

171 orders (N=54), as well as healthy comparison youths (N=51), performed a threat-attention task during

172 in the 2002-2012 period, particularly among youths of minority racial and ethnic groups.

173 plications and comorbidities in contemporary youth-onset diabetes are unknown.

174 ared with non-Hispanic white (17119 [23.1%]) youth (P < .001).

175 o products, using data from 45,971 adult and youth participants (>/=12 years of age) from Wave 1 (Sep

176 7-2010) were similar to concentrations among youth participants (aged 12-19 years) in the 2007-8 and

177 Increased youth participation in sports has resulted in increased

178 iological Determinants of Atherosclerosis in Youth (PDAY) coronary and abdominal risk scores measured

179 iological Determinants of Atherosclerosis in Youth (PDAY)".

180 by 7.1% annually (from 9.0 cases per 100,000 youths per year in 2002-2003 to 12.5 cases per 100,000 y

181 y 1.4% annually (from 19.5 cases per 100,000 youths per year in 2002-2003 to 21.7 cases per 100,000 y

182 year in 2002-2003 to 12.5 cases per 100,000 youths per year in 2011-2012, P<0.001 for trend across r

183 year in 2002-2003 to 21.7 cases per 100,000 youths per year in 2011-2012, P=0.03).

184 atally human immunodeficiency virus-infected youth (PHIVY) in the United States grow older and more t

185 Diagnoses of type 1 and type 2 diabetes in youths present a substantial clinical and public health

186 ysregulation when very anxious and irritable youth process threat-related faces.

187 In maltreated youth, PTSD is common, chronic, and associated with como

188 uebec Adipose and Lifestyle Investigation in Youth (QUALITY) cohort.

189 n four regional gray matter measures in 1189 youths ranging in age from 8 to 23 years.

190 sis, with 4976 (89.2%) of medication-treated youth receiving buprenorphine and 604 (10.8%) receiving

191 ior institutionalization, but not comparison youth, recruit the hippocampus during aversive learning.

192 data were collected from recently diagnosed youth referred to the program.

193 anatomical RC system is affected in at-risk youths, reflecting a connectome signature of familial ri

194 twork, involving decreased engagement in IGD youth relative to controls.

195 nship between these pathways in children and youth remains unknown.

196 Relative to control subjects, youths reporting psychotic-like experiences showed incre

197 ion is critical because after detention most youth return to the community, where they become the res

198 This study used state-level Youth Risk Behavior Surveillance System (YRBSS) data fro

199 from the 2009, 2011, 2013, and 2015 national Youth Risk Behavior Survey.

200 PTSD youth showed hyperactivation of the dorsal anterior cing

201 e and symptom severity, whereas neurotypical youth showed increased NAcc connectivity with frontal br

202 In each case, PTSD youth showed reduced connectivity to angry faces, but in

203 to CD/CU- and healthy control youths, CD/CU+ youths showed abnormally increased BLA connectivity with

204 th CD/CU- and healthy control youths, CD/CU+ youths showed diminished CMA connectivity with ventromed

205 d to data from prevention studies to advance youth suicide prevention research.

206 tion Workshop "Advancing Research to Prevent Youth Suicide" was cosponsored by the NIH Office of Dise

207 eversibility was less likely in HIV-infected youth than in HEU youth (17/183 [9%] vs 21/126 [17%]; ad

208 e amygdala in ASD cases differs from TD from youth to adulthood.

209 e large-arterial wall is not stiff enough in youth to alter BP levels during young adulthood.

210 identified sexual minority males and to link youths to appropriate prevention services after receipt

211 IV-positive youths, and linking HIV-negative youths to relevant prevention services.

212 We utilized data from the 2014 New Jersey Youth Tobacco Survey (n = 3,909) to compare estimates of

213 A total of 3301 youths underwent HIV testing.

214 rts of ADHD symptoms were assessed using the youth version of the SDQ.

215 alence and emergence of anxiety disorders in youth, very little work has evaluated neural predictors

216 mized intervention trials designed to reduce youth violence by improving neighborhood context.

217 cortex connectivity in typically developing youth was related to better scores on a standardized mea

218 may predict cardiometabolic risk factors in youths.We examined the independent prospective associati

219 Overall, 5580 (26.8%) youth were dispensed a medication within 6 months of dia

220 Youths were assessed at baseline and at four 6-month int

221 cco product in the previous 30 days; 1.6% of youths were daily users.

222 A total of 599 youths were enrolled, and presence/absence of future fir

223 As household net worth increased, youths were increasingly more likely to undergo an eye e

224 A total of 3986 HIV-positive youths were referred for care, with more than 75% linked

225 esentative cross-sectional study, What About Youth, which enrolled a random sample of 298 080 school

226 associated with shorter telomere lengths in youth, which may decrease genome stability and augment t

227 Here, we show that youth who experienced prior institutionalization, but no

228 Among youth who experienced prior institutionalization, indivi

229 The street-connected children and youth who provided reasons for their street involvement

230 trative records identified 895 former foster youth who were eligible for the housing program during 2

231 le and effective means to identify high-risk youths who are unaware of their HIV status.

232 The authors studied 1,129 youths who completed a fractal n-back task during functi

233 Youths who met DSM-IV criteria for full or probable diag

234 A sample of 519 youths who met quality control criteria entered analysis

235 Youths who tested through targeted testing (416 [85.1%])

236 an increase in cost sharing, with changes in youths, who did not experience the increase and thus for

237 ging may be a useful tool for predicting how youth will respond to treatment.

238 dy assessed neural function among drug-naive youth with a behavioral addiction-Internet gaming disord

239 In seven RCTs, totalling n=534 randomized youth with ADHD, n-3 PUFAs supplementation improves ADHD

240 nd in three RCTs, totalling n=214 randomized youth with ADHD, n-3 PUFAs supplementation improves cogn

241 unction tests (PFTs) in HIV-infected and HEU youth with and without diagnosed asthma.

242 R impacts reward system connectivity in both youth with ASD and neurotypical controls.

243 Youth with ASD showed reduced NAcc connectivity with oth

244 We aimed to identify such biomarkers in youth with behavioral and emotional dysregulation in the

245 ience processing and associative learning in youth with CD/CU+.

246 Among HIV-infected youth with current asthma, serum IgE levels were inverse

247 These findings support early monitoring of youth with diabetes for development of complications.

248 high-needs populations such as children and youth with fetal alcohol spectrum disorder (FASD).

249 Compared to controls, youth with IGD exhibited significantly blunted neural re

250 Adipose DI was approximately 43% lower in youth with IGT and correlated positively with glucose DI

251 We conclude that youth with IGT manifest a global decline in insulin sens

252 Despite similar percent body fat, youth with IGT versus NGT had higher GlyRa, lower ATIS a

253 IS (adipose disposition index [DI]) in obese youth with impaired glucose tolerance (IGT) versus norma

254 additional benefit relative to placebo among youth with OCD.

255 eceipt of buprenorphine and naltrexone among youth with OUD in the United States.

256 onetheless, only 1 in 4 commercially insured youth with OUD received pharmacotherapy, and disparities

257 ta-cell dysfunction in glucose metabolism in youth with prediabetes, the relationship between adipose

258 with psychosis are present early in life in youth with PS symptoms and are not due to medication eff

259 mes associated with extinction in maltreated youth with PTSD (N=31), without PTSD (N=32), and in non-

260 Maltreated youth with PTSD demonstrated decreased right vmPFC volum

261 matter intensity in controls than maltreated youth with PTSD.

262 al design, 24 healthy and 24 medication-free youth with severe PTSD completed an event-related emotio

263 ibuted to anhedonia severity, but only among youth with smaller putamen volume.

264 oorganism groups and early markers of CVD in youth with t1DM.

265 for abnormal brain structure in children and youth with TS, consistent with and extending previous fi

266 .52 for >15.0 vs </=15.0 mg/d) but not among youths with 1 to 150 days of SSRI or SNRI use.

267 ample included youths ages 8 to 17 years, 93 youths with anxiety, disruptive mood dysregulation, and/

268 a, amygdala, frontal and temporal regions in youths with CP as well as inconsistencies in sample char

269 etaliation (amygdala/periaqueductal gray) in youths with DBD and low levels of callous-unemotional tr

270 Relative to the other groups, youths with DBD and low levels of callous-unemotional tr

271 ity in the ventromedial prefrontal cortex in youths with DBD irrespective of callous-unemotional trai

272 f them female) participated in the study: 30 youths with DBD, divided by median split into groups wit

273 domized clinical trials of SSRIs or SNRIs in youths with DD, AD, OCD, or PTSD were included.

274 Despite possessing health insurance, many youths with diabetes are not receiving eye examinations

275 We sought to identify risk factors for DR in youths with diabetes mellitus, to compare DR rates for y

276 our knowledge, it is unknown to what extent youths with diabetes obtain eye examinations in accordan

277 ociated with receipt of eye examinations for youths with diabetes.

278 show that the most consistent dysfunction in youths with disruptive behavior disorder is in the rostr

279 Youths with disruptive behavior disorders (DBD) (conduct

280 ican Diabetes Association adequately capture youths with DR.

281 Youths with irritability also show maladaptive orienting

282 These data extend prior work conducted in youths with irritability or anxiety alone and suggest th

283 nificantly with the average daily dose among youths with more than 150 days of SSRI or SNRI use (RR,

284 Among the 2240 youths with T1DM and 1768 youths with T2DM, 20.1% and 7.

285 and 30% (HR = 1.30; 95% CI 1.08-1.56) among youths with T1DM and T2DM, respectively.

286 Survival curves demonstrated that youths with T1DM developed DR faster than youths with T2

287 gnosis, at which point in our study, >18% of youths with T1DM had already received >/=1 DR diagnosis.

288 Youths with T1DM or T2DM exhibit a considerable risk for

289 at youths with T1DM developed DR faster than youths with T2DM (P < 0.0001).

290 Among the 2240 youths with T1DM and 1768 youths with T2DM, 20.1% and 7.2% developed DR over a med

291 A total of 11,245 youths with type 1 diabetes (0 to 19 years of age) and 2

292 Among 5453 youths with type 1 diabetes (median age at initial diagn

293 h diabetes mellitus, to compare DR rates for youths with type 1 diabetes mellitus (T1DM) and those wi

294 5 years after initial diabetes diagnosis for youths with type 1 diabetes; the American Diabetes Assoc

295 2 male [54.5%]; 4505 white [82.6%]) and 7233 youths with type 2 diabetes (median age at initial diagn

296 Diabetes Association recommends screening of youths with type 2 diabetes at the time of initial diagn

297 scents and young adults (collectively termed youth) with OUD receive pharmacotherapy.

298 vmPFC volumes compared with both maltreated youth without PTSD and non-maltreated controls.

299 ce of IR affecting an unmeasurable number of youths worldwide, its pathogenesis remains elusive.

300 allowing them to be potentially targeted at youth/young adults.