730 research outputs found
Schizotypal traits and psychotic-like experiences during adolescence: An update
BACKGROUND: The psychosis phenotype is distributed along a severity continuum that ranges from psychological well-being to full-blown psychosis. Schizotypal traits and psychotic-like experiences are considered as one of the possible phenotypic indicators of the latent liability for psychosis (named schizotypy). This selective review offers a general overview and update of trait schizotypy and psychotic like experiences during adolescence. METHOD: The previous literature on schizotypal traits and psychotic like experiences is selectively reviewed. RESULTS: We begin with a brief introduction of psychosis syndrome from an extended psychosis phenotype framework as well as a brief definition of trait schizotypy and psychotic-like experiences. We introduce the study of these traits and experiences from a developmental perspective, where the psychosis proneness-persistence-impairment model is highlighted. We provide a selective review of the tools available for assessment these constructs from the psychometric high-risk paradigm. We then discuss the factorial validity of the studies conducted in adolescents. In addition, the links between this set of subclinical traits and experiences and other variables gathered from a translational approach are discussed, with the aim to establish a nomological network. CONCLUSIONS: We conclude by considering remaining questions and future directions for the understanding of trait schizotypy and psychotic-like experiences during adolescence
Electrochemical Reduction of CO2: Influence of Pre-treating the Carbon Support
The production of useful chemicals by electroreducing CO2 it is a promising approach to reduce the levels of this greenhouse gas in the atmosphere. This is not a straightforward process due to the high stability of the CO2 molecule and low selectivity however, these barriers can be overcome by using an appropriate catalyst. This research focus on the effect of pre-treating the carbon supports before incorporating the catalyst on the electroreduction of CO2. We found that the electrochemical behaviour of the carbon supports is modified by the nature of the pre-treatment used. From the structure perspective, the results showed partial destruction of the carbon structure mainly after the oxidative treatments nevertheless, the introduction of defect sites in the carbon structure contributed to catalyst performance. This improvement was proved by the LSV data that showed the reduction of the current associated with the hydrogen reduction reaction
H - T phase diagram of YbCo2Si2 with H // [100]
We report on the first high-resolution dc-magnetisation () measurements on
a single crystal of \ycs. was measured down to 0.05 K and in fields up to
12 T, with the magnetic field parallel to the crystallographic direction
[100]. Two antiferromagnetic (AFM) phase transitions have been detected in a
field T at K and K, in form of a
sharp cusp and a sudden drop in , respectively. These signatures
suggest that the phase transitions are order at and
order at . The upper transition is suppressed by a critical field
T. The field-dependent magnetisation shows two hysteretic
metamagnetic-like steps at the lowest temperature, followed by a sharp kink,
which separates the AFM region from the paramagnetic one. The magnetic
phase diagram of \ycs has been deduced from the isothermal and isofield curves.
Four AFM regions were identified which are separated by and
order phase-transition lines.Comment: 5 Pages, 3 figure
Magnetic phase diagram of YbCo2Si2 derived from magnetization measurements
We report on high-resolution dc-magnetization (M) measurements on a
high-quality single crystal of YbCo2Si2. M was measured down to 0.05K and in
fields up to 4T, with the magnetic field oriented along the crystallographic
directions [100], [110] and [001] of the tetragonal structure
New approaches on the study of the psychometric properties of the STAI
The main purpose of this study was to analyze the psychometric properties of the State-Trait Anxiety Inventory (STAI1). Previous studies have indicated different factor solutions. Nevertheless, there is still a lack of consensus about the best dimensional model of STAI scores.The sample consisted of 417 participants, composed of 387 (29.71% male) healthy participants (comparison group: M=35.5 years; SD=8.40), and 30 (36.66% male) patient (clinical group M=35.8 years; SD=12.94).The internal consistency evaluated through Ordinal Alpha was good, 0.98 and 0.94 in the non-clinical and the clinical samples, respectively. Test-retest reliability (two weeks) for Total Score was 0.81 for the non-clinical subsample, and 0.93 for the clinical subsample. Confirmatory factor analyses supported both a four factor model and bifactor model. Also, STAI scores showed statistically significant correlations with Burns Anxiety Inventory (Burns-A) scores. Furthermore, results showed statistically significant differences in the mean scores of the STAI between the clinical and the non-clinical subsamples.The psychometric properties of the STAI were adequate. The present study contributes to better understand the STAI structure through the comparison of new approaches in the study of the STAI internal structure. The results found may contribute in the efforts to improve the evaluation and identification of anxiety symptoms and disorders
Stabilization of p21 by mTORC1/4E-BP1 predicts clinical outcome of head and neck cancers
The levels, regulation and prognostic value of p21 in head and neck squamous cell carcinomas (HNSCC) has been puzzling for years. Here, we report a new mechanism of regulation of p21 by the mTORC1/4E-BP1 pathway. We find that non-phosphorylated 4E-BP1 interacts with p21 and induces its degradation. Accordingly, hyper-activation of mTORC1 results in phosphorylation of 4E-BP1 and stabilization of p21. In HNSCC, p21 levels strongly correlate with mTORC1 activity but not with p53 status. Finally, clinical data indicate that HNSCC patients with p21 and phospho-S6-double-positive tumours present a better disease-specific survival. We conclude that over-activation of the mTORC1/4E-BP1/p21 pathway is a frequent and clinically relevant alteration in HNSCC.We are grateful to Reidar Grenman, Silvio Gutkind, Nahum Sonenberg, Gordon Peters, David Sabatini and Mariano Barbacid for sharing critical reagents. We also thank Aurora Astudillo, Aitana Vallina, Laura Alonso-Dura ́n and Eva Allonca for excellent technical assistance. Work in the laboratory of M.S. is funded by the CNIO and by grants from the Spanish Ministry of Economy (SAF) co-funded by the European Regional Development Fund, the European Research Council (ERC Advanced Grant), the Regional Government
of Madrid co-funded by the European Social Fund, the Botin Foundation and BancoSantander (Santander Universities Global Division), the Ramon Areces Foundation an the AXA Foundation. Work in the laboratory of J.M.G.-P. and J.P.R. was supported bygrants from Plan Nacional de DþI 2013–2016 ISCIII (CP13/00013 andPI13/00259),RD12/0036/0015 of Red Tematica de Investigacio ́n Cooperativa en Cancer (RTICC),
Spain and the FEDER Funding Program from the European UnionS
Mobility assessment in people with Alzheimer disease using smartphone sensors
[EN] Background Understanding the functional status of people with Alzheimer Disease (AD), both in a single (ST) and cognitive dual task (DT) activities is essential for identifying signs of early-stage neurodegeneration. This study aims to compare the performance quality of several tasks using sensors embedded in an Android device, among people at different stages of Alzheimer and people without dementia. The secondary aim is to analyze the effect of cognitive task performance on mobility tasks. Methods This is a cross-sectional study including 22 participants in the control group (CG), 18 in the group with mild AD and 22 in the group with moderate AD. They performed two mobility tests, under ST and DT conditions, which were registered using an Android device. Postural control was measured by medial-lateral and anterior-posterior displacements of the COM (MLDisp and APDisp, respectively) and gait, with the vertical and medial-lateral range of the COM (Vrange and MLrange). Further, the sit-to-stand (PStand) and turning and sit power (PTurnSit), the total time required to complete the test and the reaction time were measured. Results There were no differences between the two AD stages either for ST or DT in any of the variables (p > 0.05). Nevertheless, people at both stages showed significantly lower values of PStand and PTurnSit and larger Total time and Reaction time compared to CG (p < 0.05). Further, Vrange is also lower in CDR1G than in CG (p < 0.05). The DT had a significant deleterious effect on MLDisp in all groups (p < 0.05) and on APDisp only in moderate AD for DT. Conclusions Our findings indicate that AD patients present impairments in some key functional abilities, such as gait, turning and sitting, sit to stand, and reaction time, both in mild and moderate AD. Nevertheless, an exclusively cognitive task only influences the postural control in people with AD.This work was funded by the Spanish Government, Secretaria de Estado de Investigacion, Desarrollo e Innovacion, and co-financed by EU FEDER funds (Grant DPI2013-44227-R). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Serra-Añó, P.; Pedrero, J.; Hurtado-Abellán, J.; Inglés, M.; Espí-López, G.; Lopez Pascual, J. (2019). Mobility assessment in people with Alzheimer disease using smartphone sensors. Journal of NeuroEngineering and Rehabilitation. 16(1). https://doi.org/10.1186/s12984-019-0576-yS161Association A. 2017 Alzheimer’s disease facts and figures. Alzheimers Dement. 2017;13(4):325–73.Harrington MG, Chiang J, Pogoda JM, Gomez M, Thomas K, Marion SD, et al. Executive function changes before memory in preclinical Alzheimer’s pathology: a prospective, cross-sectional, case control study. PLoS One. 2013;8(11):e79378.Buckner RL. Memory and executive function in aging and AD: multiple factors that cause decline and reserve factors that compensate. Neuron. 2004;44(1):195–208.Beauchet O, Launay CP, Barden J, Liu-Ambrose T, Chester VL, Szturm T, et al. Association between falls and brain subvolumes: results from a cross-sectional analysis in healthy older adults. Brain Topogr. 2017;30(2):272–80.Yogev-Seligmann G, Hausdorff JM, Giladi N. The role of executive function and attention in gait. Mov Disord Off J Mov Disord Soc. 2008;23(3):329–42.Verghese J, Wang C, Holtzer R, Lipton R, Xue X. Quantitative gait dysfunction and risk of cognitive decline and dementia. J Neurol Neurosurg Psychiatry. 2007;78(9):929–35.Beauchet O, Annweiler C, Callisaya ML, De Cock A-M, Helbostad JL, Kressig RW, et al. Poor gait performance and prediction of dementia: results from a meta-analysis. J Am Med Dir Assoc. 2016;17(6):482–90.Rucco R, Agosti V, Jacini F, Sorrentino P, Varriale P, De Stefano M, et al. Spatio-temporal and kinematic gait analysis in patients with frontotemporal dementia and Alzheimer’s disease through 3D motion capture. Gait Posture. 2017;52:312–7.de Melo Coelho FG, Stella F, de Andrade LP, Barbieri FA, Santos-Galduróz RF, Gobbi S, et al. Gait and risk of falls associated with frontal cognitive functions at different stages of Alzheimer’s disease. Aging Neuropsychol Cogn. 2012;19(5):644–56.Beauchet O, Allali G, Launay C, Herrmann FR, Annweiler C. Gait variability at fast-pace walking speed: a biomarker of mild cognitive impairment? J Nutr Health Aging. 2013;17(3):235–9.Ganz DA, Bao Y, Shekelle PG, Rubenstein LZ. Will my patient fall? JAMA. 2007;297(1):77–86.Egerton T, Danoudis M, Huxham F, Iansek R. Central gait control mechanisms and the stride length - cadence relationship. Gait Posture. 2011;34(2):178–82.Baddeley AD, Baddeley HA, Bucks RS, Wilcock GK. Attentional control in Alzheimer’s disease. Brain. 2001;124(8):1492–508.Dubois B, Feldman HH, Jacova C, DeKosky ST, Barberger-Gateau P, Cummings J, et al. Research criteria for the diagnosis of Alzheimer’s disease: revising the NINCDS–ADRDA criteria. Lancet Neurol. 2007;6(8):734–46.Coubard OA, Ferrufino L, Boura M, Gripon A, Renaud M, Bherer L. Attentional control in normal aging and Alzheimer’s disease. Neuropsychology. 2011;25(3):353–67.Ries JD, Echternach JL, Nof L, Gagnon BM. Test-retest reliability and minimal detectable change scores for the timed “up & go” test, the six-minute walk test, and gait speed in people with Alzheimer disease. Phys Ther. 2009;89(6):569–79.Tamura K, Kocher M, Finer L, Murata N, Stickley C. Reliability of clinically feasible dual-task tests: expanded timed get up and go test as a motor task on young healthy individuals. Gait Posture. 2018;60:22–7.Muir SW, Speechley M, Wells J, Borrie M, Gopaul K, Montero-Odasso M. Gait assessment in mild cognitive impairment and Alzheimer’s disease: the effect of dual-task challenges across the cognitive spectrum. Gait Posture. 2012;35(1):96–100.Morris JC. The clinical dementia rating (CDR): current version and scoring rules. Neurology. 1993;43(11):2412–4.Ansai JH, Andrade LP, Rossi PG, Takahashi AC, Vale FA, Rebelatto JR. Gait, dual task and history of falls in elderly with preserved cognition, mild cognitive impairment, and mild Alzheimer’s disease. Braz J Phys Ther. 2017;21(2):144–51.Herrero MJ, Blanch J, Peri JM, De Pablo J, Pintor L, Bulbena A. A validation study of the hospital anxiety and depression scale (HADS) in a Spanish population. Gen Hosp Psychiatry. 2003;25(4):277–83.Bower ES, Wetherell JL, Merz CC, Petkus AJ, Malcarne VL, Lenze EJ. A new measure of fear of falling: psychometric properties of the fear of falling questionnaire revised (FFQ-R). Int Psychogeriatr. 2015;27(7):1121–33.López-Pascual J, Hurtado AJ, Inglés M, Espí-López G, Serra-Añó P. P 151-reliability of variables measured with an android device during a modified timed up and go test in patients with Alzheimer’s disease. Gait Posture. 2018;65:484.Nishiguchi S, Yamada M, Nagai K, Mori S, Kajiwara Y, Sonoda T, et al. Reliability and validity of gait analysis by android-based smartphone. Telemed J E Health. 2012;18(4):292–6.Zijlstra W, Hof AL. Assessment of spatio-temporal gait parameters from trunk accelerations during human walking. Gait Posture. 2003;18(2):1–10.Ribeiro JG, De Castro JT, Freire JL. Using the FFT-DDI method to measure displacements with piezoelectric, resistive and ICP accelerometers. In: Conference and exposition on structural dynamics. Rio de Janeiro: Citeseer; 2003.Prieto TE, Myklebust JB, Hoffmann RG, Lovett EG, Myklebust BM. Measures of postural steadiness: differences between healthy young and elderly adults. Biomed Eng IEEE Trans On. 1996;43(9):956–66.Esser P, Dawes H, Collett J, Howells K. IMU: inertial sensing of vertical CoM movement. J Biomech. 2009;42(10):1578–81.Gordon KE, Ferris DP, Kuo AD. Metabolic and mechanical energy costs of reducing vertical center of mass movement during gait. Arch Phys Med Rehabil. 2009;90(1):136–44.Gard SA, Miff SC, Kuo AD. Comparison of kinematic and kinetic methods for computing the vertical motion of the body center of mass during walking. Hum Mov Sci. 2004;22(6):597–610.Weinert-Aplin RA, Twiste M, Jarvis HL, Bennett AN, Baker RJ. Medial-lateral centre of mass displacement and base of support are equally good predictors of metabolic cost in amputee walking. Gait Posture. 2017;51:41–6.Chen S-H, Lo O-Y, Kay T, Chou L-S. Concurrent phone texting alters crossing behavior and induces gait imbalance during obstacle crossing. Gait Posture. 2018;62:422–5.Lindemann U, Claus H, Stuber M, Augat P, Muche R, Nikolaus T, et al. Measuring power during the sit-to-stand transfer. Eur J Appl Physiol. 2003;89(5):466–70.Manckoundia P, Mourey F, Pfitzenmeyer P, Papaxanthis C. Comparison of motor strategies in sit-to-stand and back-to-sit motions between healthy and Alzheimer’s disease elderly subjects. Neuroscience. 2006;137(2):385–92.Christ BU, Combrinck MI, Thomas KG. Both reaction time and accuracy measures of Intraindividual variability predict cognitive performance in Alzheimer’s disease. Front Hum Neurosci. 2018;12:124–35.Vienne A, Barrois RP, Buffat S, Ricard D, Vidal P-P. Inertial sensors to assess gait quality in patients with neurological disorders: a systematic review of technical and analytical challenges. Front Psychol. 2017;8:817.Wang W-H, Chung P-C, Yang G-L, Lin C-W, Hsu Y-L, Pai M-C. An inertial sensor based balance and gait analysis system. In: 2015 IEEE International Symposium on Circuits and Systems (ISCAS): Rio de Janeiro: IEEE; 2015. p. 2636–9.Wüest S, Masse F, Aminian K, Gonzenbach R, De Bruin ED. Reliability and validity of the inertial sensor-based timed “up and go” test in individuals affected by stroke. J Rehabil Res Dev. 2016;53(5):599–610.Nguyen H, Lebel K, Boissy P, Bogard S, Goubault E, Duval C. Auto detection and segmentation of daily living activities during a timed up and go task in people with Parkinson’s disease using multiple inertial sensors. J Neuroengineering Rehabil. 2017;14(1):26.Ansai JH, de Andrade LP, Rossi PG, Nakagawa TH, Vale FAC, Rebelatto JR. Differences in timed up and go subtasks between older people with mild cognitive impairment and mild Alzheimer’s disease. Mot Control. 2018;27:1–12.Eggermont LH, Gavett BE, Volkers KM, Blankevoort CG, Scherder EJ, Jefferson AL, et al. Lower-extremity function in cognitively healthy aging, mild cognitive impairment, and Alzheimer’s disease. Arch Phys Med Rehabil. 2010;91(4):584–8.Leandri M, Cammisuli S, Cammarata S, Baratto L, Campbell J, Simonini M, et al. Balance features in Alzheimer’s disease and amnestic mild cognitive impairment. J Alzheimers Dis. 2009;16(1):113–20.Nakamura T, Meguro K, Yamazaki H, Okuzumi H, Tanaka A, Horikawa A, et al. Postural and gait disturbance correlated with decreased frontal cerebral blood flow in Alzheimer disease. Alzheimer Dis Assoc Disord. 1997;11(3):132–9.Cavagna GA, Margaria R. Mechanics of walking. J Appl Physiol. 1966;21(1):271–8.Ganea R, Paraschiv-Ionescu A, Büla C, Rochat S, Aminian K. Multi-parametric evaluation of sit-to-stand and stand-to-sit transitions in elderly people. Med Eng Phys. 2011;33(9):1086–93.Cameron DM, Bohannon RW, Garrett GE, Owen SV, Cameron DA. Physical impairments related to kinetic energy during sit-to-stand and curb-climbing following stroke. Clin Biomech. 2003;18(4):332–40.McGuinness B, Barrett SL, Craig D, Lawson J, Passmore AP. Attention deficits in Alzheimer’s disease and vascular dementia. J Neurol Neurosurg Psychiatry. 2010;81(2):157–9.Phillips M, Rogers P, Haworth J, Bayer A, Tales A. Intra-individual reaction time variability in mild cognitive impairment and Alzheimer’s disease: gender, processing load and speed factors. PLoS One. 2013;8(6):e65712
Schizotypy: The Way Ahead
Background: Empirical evidence suggests that schizotypy is a useful construct for analyzing and understanding psychotic disorders. However, several issues remain to be resolved. Method: This selective, critical review, addresses some questions and limitations, and discusses future directions of work. Results: First, we present a conceptual outline and discuss the evidence from translational and interdisciplinary studies on schizotypy. Next, we examine and discuss newer analytical and methodological approaches, including network and machine learning approaches. We also discuss newer psychometric identification approaches, such as those using biobehavioral and ambulatory assessment. Next, we review recent cross-cultural studies in schizotypy research. Finally, we identify new challenges and directions and draw conclusions. Conclusions: This selective, critical review suggests that new methods can contribute to the construction of a solid scientific model of schizotypy as a risk construct. //
Esquizotipia: el Camino a Seguir. Antecedentes: la evidencia empírica ha demostrado que la esquizotipia es un constructo útil para analizar y comprender los trastornos psicóticos. Sin embargo, todavía quedan por resolver varias cuestiones. Método: en esta revisión selectiva y crítica se abordan algunas limitaciones, se discuten interrogantes y se comentan direcciones futuras de trabajo. Resultados: en primer lugar, se presenta una delimitación conceptual y se comenta la evidencia acumulada en diferentes estudios y niveles de análisis en el campo de la esquizotipia. A continuación, se examinan nuevos modelos psicopatológicos, como el modelo de red, y se presentan las diferentes herramientas desarrolladas y validadas para su evaluación. Seguidamente, se abordan algunas inquietudes metodológicas de fondo y se presentan nuevas técnicas y procedimientos psicométricos, como la evaluación ambulatoria y bioconductual. También se analizan algunos de los problemas inherentes en la investigación entre países y culturas. Finalmente, se establecen las conclusiones y se abordan nuevos desafíos y direcciones futuras de investigación. Conclusiones: esta revisión selectiva y crítica plantea que es necesario continuar trabajando en la construcción de un modelo científico sólido y refutable e incorporar nuevas pruebas científicas en el campo de la esquizotipia
Youth screening depression: Validation of the Patient Health Questionnaire-9 (PHQ-9) in a representative sample of adolescents
BACKGROUND:
Depression symptoms and mood disorders constitute one of the major public health challenges among youths. Thus, early prevention and intervention for depression should be a priority. The main goal of the present study was to validate the Patient Health Questionnaire-9 (PHQ-9) scores in a school-based sample of non-clinical adolescents.
METHOD:
Stratified random sampling was conducted. Participants were 2235 students (M = 14.49, SD =1.76, range= 12–18 years), 52.9 % were female, from 34 secondary schools in Spain. Several previously validated self-reported questionnaires of mental health and psychopathology were administrated.
RESULTS:
The unidimensional factorial model of the PHQ-9 items showed adequate goodness of fit indices. Strong measurement invariance across gender was found. Omega for the PHQ-9 total score was 0.87. The PHQ-9 total score was positively associated with anxiety symptoms and emotional and behavioral problems, and negatively associated with prosocial behavior and quality of life.
CONCLUSIONS:
The PHQ-9 is a brief, easy, and reliable tool for assessing self-reported depressive symptoms in both clinical and school settings. PHQ-9 may be used as a screening tool for universal early detection and monitorization of depression symptoms during adolescence
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