ライフサイエンスコーパス: youth

1 in older male PSS youth (compared to non-PSS youth).

2 Little is known about outcomes in recognized youth.

3 ate how functional topography evolves during youth.

4 nd mental health and academic achievement in youth.

5 d may drive psychosis development in at-risk youth.

6 increasing considerably, particularly among youth.

7 cal role in lung function among Puerto Rican youth.

8 dence interval [CI], 0.29-0.50) than healthy youth.

9 a multivoxel approach to study the AWM of BD youth.

10 ese events on the mental health of surviving youth.

11 should be prioritized for PHIV children and youth.

12 ing intervention to pregnant Native American youth.

13 , we aim to extend these findings to at-risk youth.

14 adherence and retention have been low among youth.

15 nd environmental factors on mental health in youth.

16 r for all serotypes in PHIV compared to PHEU youth.

17 ly interventions in bipolar disorder at-risk youth.

18 od of rats who were physically active during youth.

19 onalized youth but not nonadopted comparison youth.

20 idly escalate in the USA, particularly among youth.

21 r future prevention work targeted at at-risk youth.

22 d perinatally HIV-exposed, uninfected (PHEU) youth.

23 science summer camps for middle-school-aged youth.

24 poorer cognitive performance even in healthy youth.

25 a large cross-sectional sample of depressed youth.

26 on of the conservation of their functions in youth.

27 hese psychiatric disorders first manifest in youth.

28 s without recent dentist visits and in obese youth.

29 g their HIV status, especially among men and youth.

30 urodevelopmental outcomes in substance-naive youths.

31 than both subtype 2 and typically developing youths.

32 ctivation compared with typically developing youths.

33 l data collected at 3T from a sample of 1141 youths.

34 hs, a pattern that may differ from resilient youths.

35 r sequela of traumatic brain injury (TBI) in youths.

36 when these structural differences emerge in youths.

37 and recovery for some of our most vulnerable youths.

38 most common and affecting as many as 30% of youths.

39 erebellar regions of male youths than female youths.

40 vidence supporting their clinical utility in youths.

41 provide a novel approach to reducing fear in youths.

42 ctivation compared with typically developing youths.

43 d study 2 involved 82 urban African American youths, 13 to 14 years of age (66% female).

44 also appeared to be increasing rates during youth (15-24 years of age) and in those aged 70 years an

45 ars of age (622 typically developing control youths, 194 youths with psychosis spectrum disorders, an

46 es for 7,501 National Longitudinal Survey of Youth 1979 participants aged 14 to 48 years (262,535 per

47 nally acquired structural MRI scans from 623 youth (299 female/324 male) to investigate the relation

48 (4.2%) of hospital readmissions compared to youth (3.4%, P = .01) but there were no other post-MBS c

49 elopmental Cohort (PNC), consisting of 1,393 youths (398 with psychosis spectrum symptoms and 609 wit

50 unctioning and self-regulatory capacities in youth 9-12 years of age.

51 velopment compared with typically developing youths, a pattern that may differ from resilient youths.

52 ed 2 highly stable subtypes of internalizing youths (adjusted Rand index = 0.66; permutation-based fa

53 on was collected annually using a structured youth/adolescent food-frequency questionnaire during 199

54 s tissue constituents in 548 no/low drinking youths age 12 to 21 years at induction into this 5-site,

55 It is estimated that every day about 1600 youth aged 12 to 17 years smoke their first cigarette an

56 tion T1-weighted MRIs were obtained from 781 youth aged 14-22 years who were studied as part of the P

57 stigation using 24-hour dietary recalls from youth aged 2 to 19 years from 9 National Health and Nutr

58 Of 31 420 youth aged 2 to 19 years included, the mean age was 10.6

59 analysis of US population-weighted data for youths aged 6 to 19 years from the National Health and N

60 ta to describe testosterone levels by age in youths aged 6 to 20 years and the onset and magnitude of

61 Using fMRI with 35 typically-developing youths (aged 9-18 years, 12 males), we investigated the

62 SOR) and 27 age-matched typically developing youths (ages 8-17).

63 Participants were 9,719 youths (ages 9.0 to 10.9 years) from the Adolescent Brai

64 ly driven by males, whereby younger male PSS youth also exhibited thalamo-cortical hypo-connectivity

65 become the most popular tobacco products for youth and adolescents in the United States and are attra

66 roducts do not addict the next generation of youth and adolescents.

67 The 2015-2018 youth and adult MBS utilization rates were calculated us

68 This article summarizes reviews of sleep in youth and adults with T1DM and empirical studies that ha

69 ty is vital for the health and well-being of youth and adults, although the prevalence of physical ac

70 nderutilized obesity treatment tool for both youth and adults, and among ethnic minority groups in pa

71 the most prevalent psychiatric disorders in youth and are associated with profound individual impair

72 biological studies of risk taking in anxious youth and conclude by identifying directions for future

73 with asthma and pulmonary function in Latino youth and determine whether this association varies acro

74 ychiatric disorders that frequently begin in youth and exhibit marked heterogeneity in treatment resp

75 neously address the geopolitical concerns of youth and obesity prevention.

76 erall and domain-specific EF between healthy youth and those with a kidney, heart, or liver transplan

77 States, water pipe use is more common among youth and young adults than among adults.

78 ings, the authors compared brain function in youths and adults with and without anxiety disorders whi

79 udies that apply these methods to samples of youths and discuss issues to consider when using these a

80 adults generalize to depression outcomes in youths and may serve as an early indicator of clinically

81 dence from imaging studies of trauma-exposed youths and preclinical stress models, a heavy burden of

82 taset has a wealth of measured attributes of youths and their environment, including neuroimaging, co

83 etration of physical violence in a sample of youths and young adults <30 years old were included.

84 mes, compared with both typically developing youths and youths with other psychopathologies.

85 mon psychiatric illness that often begins in youth, and is sometimes associated with cognitive defici

86 factors influence both area and thickness in youth, and the presence of strong genetically mediated a

87 with markers of health in otherwise healthy youth, and the temporal trends in CRF both in the United

88 tal activation may characterize STB and NSSI youth, and there is reduced frontolimbic task-based conn

89 ciated with psychosis, risk for psychosis in youths, and cognitive impairment.

90 exposure to fatal school shootings increases youth antidepressant use by 21.4% in the following 2 y.

91 xamine the effects of 44 school shootings on youth antidepressant use.

92 ies with higher-order cognitive functions in youth are a potentially important vulnerability factor f

93 tial patterns of cortical anatomy changes in youth are correlated with cortical spatial expression of

94 However, only 40% of US youth are currently believed to have healthy CRF.

95 ghout development, interventions for anxious youths are largely based on principles of extinction lea

96 Hookah smoking is marketed to youth as a harmless alternative to cigarettes.

97 roughout adolescence in typically developing youth as well as in those with psychosis spectrum disord

98 ded possible underrepresentation of homeless youth as well as the inability to capture all nationalit

99 ctional connectivity in typically developing youths, assessed age-associated deviations of these traj

100 many jurisdictions and the perceived risk by youth associated with smoking cannabis has declined in r

101 neuronal targets for early interventions in youth at CHR.

102 Youth at clinical high risk (CHR) are a unique populatio

103 e that mGlu5 receptor availability is low in youth at elevated risk for addictions, particularly thos

104 y identification and guide interventions for youth at familial risk for BD.

105 alysis in a large cohort of medication-naive youth at risk for psychosis from the Shanghai At Risk fo

106 s in brain white matter (WM) are reported in youth at-risk for psychosis.

107 was used to investigate WM abnormalities in youth at-risk for psychosis.

108 Clinical outcomes vary among youths at clinical high risk for psychosis (CHR-P), with

109 ion (VI) and violent behavior (VB) among 200 youths at clinical high-risk (CHR) for psychosis, we fou

110 SD) ratio to the history of concussion in 81 youth athletes (18 with a history of concussion, ages 13

111 Every summer in the United States, youths attending agricultural fairs are exposed to genet

112 In youth, beta-cell function deteriorated during treatment

113 stress reactivity for postinstitutionalized youth but not nonadopted comparison youth.

114 rse heterogeneity in psychiatric symptoms in youths by identifying abnormalities within neural circui

115 ing for optimizing interventions for anxious youths by targeting the biological state of the developi

116 xpanded faster in female youths than in male youths; cerebrospinal fluid volume expanded faster in mo

117 Participants were sampled from the Stockholm Youth Cohort, a register-based cohort in Sweden.

118 y nested within the register-based Stockholm Youth Cohort.

119 ion outcomes in clinical and epidemiological youth cohorts.

120 Evidence for accelerated development in youths comes from studies of telomere shortening or adva

121 3%, 84%, 90%, and 62% of 310 vaccinated PHIV youth compared to 94%, 96%, 99%, and 87% of 148 vaccinat

122 ortical hyper-connectivity in older male PSS youth (compared to non-PSS youth).

123 l, unenhanced 3-T knee MRI scans obtained in youth competitive alpine skiers were compared with image

124 CIs) at different tendon attachment sites in youth competitive alpine skiers with that in young adult

125 e MRI scans, with an increased prevalence in youth competitive alpine skiers.

126 One week after the HRT session, youth completed a posttreatment assessment to evaluate c

127 t focusing uptake and retention of ART among youth could enhance the efficiency of treatment as preve

128 Declining youth dependency ratios even show negative impacts on in

129 ared with subtype 1 and typically developing youths, despite still showing clinically significant lev

130 We identified 2 subtypes of internalizing youths differentiated by abnormalities in brain structur

131 lation of inner-city, racial/ethnic minority youth during the transition from childhood to adolescenc

132 Type 2 Diabetes Mellitus in Adolescents and Youth), echocardiograms were performed at study years 4

133 potential consequences of this treatment for youth experiencing gender dysphoria.

134 Sensitivity analyses revealed that youth-focused TasP is beneficial due to age-related risk

135 (PHIV) may be at higher risk than uninfected youth for persistent anogenital human papillomavirus (HP

136 (PHIV) may be at higher risk than uninfected youth for persistent anogenital human papillomavirus (HP

137 The study is examining approximately 11,875 youth from 21 sites from age 9 to 10 for approximately t

138 alendars were collected from 44 male migrant youths from Afghanistan, Pakistan, Bangladesh, and Iran

139 Specifically, transplanted youth had worse working memory (g = 0.33; 95% CI, 0.01-0

140 eriod, 51.4% (95% CI, 48.5% to 54.2%) of all youths had ideal levels for HDL, non-HDL, and total chol

141 Prior studies of dietary trends among US youth have evaluated major macronutrients or only a few

142 Compared with adults, youth have hyperresponsive beta-cells and their decline

143 risk and resilience processes among minority youth in the United States.

144 ically developing and DBD+CU groups, whereas youths in the DBD+CU group showed increased activation d

145 During reward anticipation, youths in the overall DBD group (with and without callou

146 ly-life adversity affects nearly half of all youths in the United States and is a known risk factor f

147 Youth (including both childhood and adolescence) is a pe

148 ready marked importance of weight control in youth is further strengthened by these findings, as well

149 igarette and other tobacco product use among youth is important to inform public health policy, plann

150 icotine exposure from any tobacco product in youth is important.

151 (NSSI), and relative to adults, research in youth is more limited.

152 igate the extent to which cannabis use among youths is associated with the risk of perpetrating physi

153 One challenge, particularly among youth, is high comorbidity.

154 nts, 95% CI -10.98 to -0.75, p = 0.025); and youth lawbreaking from 22.44% to 14.98% (ARD -7.46% poin

155 abuse, community violence victimisation, and youth lawbreaking) and seven self-reported INSPIRE-align

156 nts, 95% CI -11.98 to -3.76, p < 0.001); and youth lawbreaking, 18.90% and 11.61% (ARD: -7.30% points

157 an early marker of subclinical CVD risk, in youth living with perinatally acquired HIV (YLPHIV).

158 re associated with lower lung function among youth living with perinatally-acquired HIV, despite anti

159 orosis, but has not been formally studied in youths living with HIV.

160 sideration of the processes by which anxious youth make avoidant decisions and how these choices are

161 long jump distance, and star drill time) in youth male athletes age 10-19, in two sessions: fifty-on

162 ve episode and 712 typically developing (TD) youth matched on age and sex.

163 first epidemiological cohort included 1,450 youths (mean age=13.99 years [SD=0.92], 63% female).

164 current epidemiological knowledge of refugee youth mental health as well as interventions aimed to pr

165 n Scholars Program, Slaight Family Child and Youth Mental Health Innovation Fund, and The Catherine a

166 nantly impacted by oral health habits, while youth microbiomes were impacted by biological sex and we

167 bacterial composition to be more diverse in youth microbiomes when compared to adults.

168 In Mutant INS-gene-induced Diabetes of Youth (MIDY) syndrome, mutant proinsulin aggregates inte

169 to cause mutant INS-gene-induced diabetes of youth (MIDY), yet the cellular pathways needed to preven

170 take into account that greater than half of youths misusing prescription opioids obtain these medica

171 Machine learning analysis of the youths' motor patterns distinguished between the autism

172 icit drug use in 26 trials among nonpregnant youth (n = 17 811) were highly variable; the pooled resu

173 ical MBSAQIP sample was 17.9 (1.15) years in youth (n = 3,846) and 45.1 (11.5) in adults (N = 744,776

174 Obese youth (n = 91) and adults (n = 132) with IGT or recently

175 c groups were compared: typically developing youths (N=693) and youths with DBDs (N=995), subdivided

176 chools, universities, psychiatric units, and youth offender units).

177 The youth on the autism spectrum exhibited more variability

178 ence to early adulthood in participants with youth-onset T2D.

179 n individuals followed from adolescence with youth-onset T2D.

180 nd persistence (P = .01) than HIV-uninfected youth over a 3-year period.

181 facilitate brain maturation to help affected youth overcome symptoms.

182 e visits and in field settings to screen all youth periodically could help identify those at increase

183 riato-cortical connectivity was found in PSS youth, primarily driven by males, whereby younger male P

184 -cigarettes (e-cigarettes), especially among youth, raises the urgency for regulating bodies to make

185 g 2043 magnetic resonance imaging scans, 328 youths remained no/low drinkers, whereas 220 initiated s

186 prefrontal and orbitofrontal cortices among youth reporting STBs, and there is reduced anterior cing

187 4%, 96%, 99%, and 87% of 148 vaccinated PHEU youth, respectively (P < .05 for all comparisons).

188 ts, and negative affect and substance use in youth (|rho| = 0.10-0.23).

189 PA was assessed using items from the Youth Risk Behavior Surveillance Survey.

190 uicidality among ASMM from the 2015 and 2017 Youth Risk Behavior Survey (n = 849).

191 is using data from the 1991-2015 US national Youth Risk Behavior Survey (YRBS).

192 erence-in-differences analysis used biannual Youth Risk Behavioral Surveillance System (YRBSS) data r

193 novel solution to this problem is hosting a youth science workshop (YSW) on our university campus.

194 imaging, cognitive, biospecimen, behavioral, youth self-report and parent self-report metrics, and en

195 From 2015-2018 the US prevalence of youth severe obesity increased in Hispanics and non-Hisp

196 16, the estimated overall diet quality of US youth showed modest improvement, but more than half of y

197 mong 234 healthy, inner-city male and female youth (species Homo sapiens) 9-12 years of age followed

198 s an important predictor of asthma in Latino youth, specifically Mexican Americans.

199 ed modest improvement, but more than half of youth still had poor-quality diets.

200 o participated in the SEARCH for Diabetes in Youth Study across five sites in the USA.

201 unselected populations (IMAGEN and Saguenay Youth Study).

202 influences of prenatal parental smoking and youth substance use as they are modifiable and of releva

203 hate crimes(1-6) and an alarming increase in youth suicides that result from social media vitriol(7);

204 controlled trial to evaluate the impact of a youth-tailored, bidirectional text-messaging interventio

205 quickly rising and is now more common among youth than cigarette smoking.

206 ed faster in most cerebellar regions of male youths than female youths.

207 nd lobule X declined faster with age in male youths than in female youths, whereas white matter volum

208 es VIIIA and VIIIB expanded faster in female youths than in male youths; cerebrospinal fluid volume e

209 as evidence of altered neurochemistry in BD youth that is sensitive to medication status and ADHD co

210 These results provide the first evidence in youth that sex influences the neural correlates of cToM,

211 Among all youths, the adjusted mean total cholesterol level declin

212 nd sex differences, as well as engagement of youth themselves, will be vital to strengthen the opport

213 Among maltreated youths, those who were better able to recruit prefrontal

214 le trends occurred in the lipid levels of US youths through 2010, but these trends may be altered by

215 tional neural correlates of STBs and NSSI in youth to 1) elucidate shared and independent neural alte

216 ow white-matter architecture develops during youth to directly support coordinated neural activity.

217 unselling services were tailored for men and youth to encourage their participation.

218 ents in the United States and are attracting youth to new avenues for nicotine addiction.

219 d prove useful in a model that progress from youth to old age in but a few weeks.

220 he shelter system for UAMs in Greece enabled youths to develop new skills and networks that facilitat

221 a hyperglycemic clamp were performed in 110 youths to quantify hepatic and peripheral clearance, ins

222 idemiology study uses data from the National Youth Tobacco Survey to assess trends in self-reported u

223 tions for Type 2 Diabetes in Adolescents and Youth (TODAY) Study showcases a successful, trusting res

224 d engagement with the shelter system altered youths' trajectories into adulthood.

225 icators and country urban population growth, youth unemployment percentage, the percentage of PWID wh

226 etween indicators of IDU in young people and youth unemployment, Gini coefficient, or opioid substitu

227 However, when approached in the language of youth, via IT, they express great concern, and unwanted

228 tical hypo-connectivity (compared to non-PSS youth), vs. striato-cortical hyper-connectivity in older

229 e overall 2015-2018 MBS utilization rate for youth was 1.81 per 1,000 and 5.56 per 1,000 for adults (

230 Heightened impulsivity in youth was significantly and specifically associated with

231 By studying a cohort of 362 youth, we ask if polygenic risk for ADHD, combined with

232 Youth were randomly assigned to receive a single session

233 Youths were identified through structured interview as h

234 aster with age in male youths than in female youths, whereas white matter volumes in crus I and crus

235 ve vulnerability and resilience in depressed youth, which may inform the identification of biomarkers

236 ociated with accelerated biological aging in youths, which may be a mechanism linking ELA with depres

237 ined by differences in brain structure among youths who had been exposed to alcohol in utero.

238 interpreted by the shelter system for UAMs, youths who had the greatest need to learn new skills to

239 rmal involved anterior lobules and vermis of youths who initiated substantial drinking.

240 es expansion of anterior lobules relative to youths who remained no/low drinkers.

241 However, a subset of youths who requested shelter at the age of 17 years had

242 The authors studied 1,394 youths who underwent brain imaging as part of the Philad

243 the evidence for benefit of interventions in youth will be reviewed.

244 sensory and executive network disruptions in youth with 22q11DS.

245 hia Neurodevelopmental Cohort, including 712 youth with a lifetime history of a major depressive epis

246 The estimated proportion of youth with a poor diet in 2015-2016 was 39.8% (95% CI, 3

247 rchitecture of lung function in Puerto Rican youth with and without asthma who were recruited from th

248 ies of the CSTC circuit in a large sample of youth with and without psychosis spectrum symptoms (PSS)

249 ication: n = 326) included treatment-seeking youth with anxiety disorders, with disruptive mood dysre

250 ctor to consider in the management of Latino youth with asthma.

251 ng multiple sessions of videogame play in 39 youth with autism spectrum disorder and 23 age-matched y

252 Nausea is a common symptom in youth with chronic abdominal pain.

253 motional (CU) traits designate a subgroup of youth with conduct disorders who have unique causal proc

254 dulthood Somatosensory cortical responses in youth with CP are similar to adult controls Individuals

255 ression models fitted to the data imply that youth with CP may have somatosensory cortical activity s

256 oms pre-to-post CBT and SSRI treatment among youth with current anxiety.

257 The overall prevalence of MD in youth with diabetes in Lithuania was 3.5% (1.9% for GCK

258 , we aimed to assess the prevalence of MD in youth with diabetes in Lithuania, uncover potential diab

259 22) year inter-scan interval) in a subset of youth with follow-up data (OBP, n = 14; OCP, n = 8; OHP,

260 nophils, and TH17 cells, respectively, in 37 youth with IBS and 10 controls.

261 efecation and with anxiety and depression in youth with IBS.

262 c mast cells, eosinophils, and TH17 cells in youth with IBS; and, (2) explore relationships between t

263 limumab could preserve beta-cell function in youth with newly diagnosed overt (stage 3) type 1 diabet

264 Female youth with perinatally acquired HIV (PHIV) may be at hig

265 Female youth with perinatally acquired human immunodeficiency v

266 Compared to TD, youth with persistent psychosis risk symptoms had lower

267 s that WM abnormalities are present early in youth with persistent psychosis risk symptoms, however,

268 mary diet score, the estimated proportion of youth with poor diets significantly declined from 76.8%

269 Youth with PSS demonstrate sex and age-dependent differe

270 prove early identification and treatment for youth with STBs and NSSI.

271 Twenty youth with TD completed a baseline assessment to charact

272 latory-approved treatment of choice for most youth with type 2 diabetes early in the disease.

273 insulin treatment) is safe and effective in youth with type 2 diabetes is unknown.

274 autism spectrum disorder and 23 age-matched youth with typical development (ages 7-17 years).

275 ted with genetic risk and brain structure in youths with and without a history of TBI.

276 approach to enhancing treatment outcomes for youths with anxiety disorders.

277 t living, presents particular challenges for youths with autism spectrum disorder (ASD) who often str

278 In addition, the proportion of youths with clinically significant levels of conduct pro

279 red: typically developing youths (N=693) and youths with DBDs (N=995), subdivided into those with cal

280 During reward receipt, youths with DBDs showed increased cortical (e.g., OFC) a

281 nse to reward anticipation and receipt among youths with DBDs, with and without callous-unemotional t

282 erns of neurobiological heterogeneity within youths with internalizing symptoms using structural data

283 The clinical cohort comprised 279 youths with major depression (mean age=14.76 years [SD=2

284 ed with both typically developing youths and youths with other psychopathologies.

285 s with psychosis spectrum disorders, and 246 youths with other psychopathology).

286 tive development of amygdala connectivity in youths with psychosis spectrum disorders may help us bet

287 622 typically developing control youths, 194 youths with psychosis spectrum disorders, and 246 youths

288 sociated deviations of these trajectories in youths with psychosis spectrum disorders, and explored h

289 Youths with psychosis spectrum symptoms also had smaller

290 genu of the corpus callosum was negative in youths with TBI and positive in youths without TBI.

291 Youths with TBI reported greater ADHD symptom severity c

292 hors studied a transdiagnostic sample of 195 youths with varying levels of irritability (disruptive m

293 YLPHIV had higher rates of ED than youth without HIV (50% vs 34%; P = .01); this relationsh

294 Overall, 431 YLPHIV and 93 youth without HIV with a median age of 14.1 versus 13.9

295 ry, we compared ED in YLPHIV and age-matched youth without HIV.

296 creased risk of ED compared with age-matched youth without HIV.

297 percholesterolemia (10% vs 1%; P = .01) than youth without HIV.

298 ning during reappraisal and depression among youths without a history of maltreatment.

299 negative in youths with TBI and positive in youths without TBI.

300 The number of refugee youth worldwide receives international attention and is