Results 81 to 90 of about 151,881 (325)

What makes students strong? A student's voice study on resilience

open access: yesJournal of Research in Special Educational Needs, EarlyView.
Abstract In times of crisis, resilience—the ability to cope with challenges—has become crucial, especially for primary school students facing issues such as the climate crisis, the war in Ukraine, educational disadvantages, or family‐related struggles.
Tanja Ganotz‐Steinborn, Susanne Schwab
wiley   +1 more source

Mental health literacy in Hong Kong [PDF]

open access: yes, 2016
BACKGROUND AND AIMS: The aim of this study was to investigate Hong Kong nationals’ ability to recognize 13 different mental disorders and to examine whether there may be a relationship between their mental health literacy (MHL) and their tendency to ...
Furnham, A, Lui, C, Wong, C
core   +2 more sources

Can enhanced street lighting improve public safety at scale?

open access: yesCriminology &Public Policy, EarlyView.
Abstract Research Summary Street crimes are thought to be influenced by changes in ambient lighting; yet, most studies have focused on small‐scale interventions in limited areas. It remains unclear whether enhanced lighting can improve safety on a larger, jurisdiction‐wide scale.
John M. MacDonald   +6 more
wiley   +1 more source

Narrative Coherence of Turning Point Memories: Associations With Psychological Well-Being, Identity Functioning, and Personality Disorder Symptoms

open access: yesFrontiers in Psychology, 2021
Individuals develop a narrative identity through constructing and internalizing an evolving life story composed of significant autobiographical memories.
Elien Vanderveren   +6 more
doaj   +1 more source

Personality traits and disorders in childhood. Clinical evaluation and diagnosis [PDF]

open access: yes, 2018
Objective: aim of the paper is to examine the controversial issue of personality traits and disorders in childhood. Method: a literature review of clinical and research data was performed, and a conceptual synthesis was proposed.
Alexandro Fortunato, Anna Maria Speranza
core  

Developmental imaging genetics: challenges and promises for translational research [PDF]

open access: yes, 2006
Advances in molecular biology, neuroimaging, genetic epidemiology, and developmental psychopathology have provided a unique opportunity to explore the interplay of genes, brain, and behavior within a translational research framework.
Hariri, A.R.   +2 more
core   +1 more source

Psychopathic Traits Associate With Later Schizophrenia

open access: yesActa Psychiatrica Scandinavica, EarlyView.
ABSTRACT Introduction Despite well‐known diagnostic and neurobiological overlaps between psychopathic traits and schizophrenia, it has remained unclear whether psychopathic traits increase the risk for later schizophrenia. Former studies have proven only a weak correlation between psychopathy and DSM axis I diagnoses.
Olli Vaurio   +3 more
wiley   +1 more source

Effectiveness and safety of psychosocial interventions for the treatment of cannabis use disorder: A systematic review and meta‐analysis

open access: yesAddiction, EarlyView.
Abstract Aim To evaluate the effectiveness, safety and cost‐effectiveness of psychosocial interventions for cannabis use disorder (CUD). Methods A systematic review of randomized controlled trials (RCTs; PROSPERO protocol CRD42024553382) of psychosocial interventions for CUD lasting >4 sessions, delivered synchronously, to individuals with CUD aged ≥16
Monika Halicka   +11 more
wiley   +1 more source

Cognitive functioning, clinical profile and life events in young adults addicted to drugs. Does being a girl make a difference? [PDF]

open access: yes, 2017
Objective: Gender features play a fundamental role as risk factors in drug addiction, entailing differences in vulnerability, onset, drug use and clinical trajectories.
Alessandra Simonelli   +5 more
core  

Multivariable machine learning prediction of risky alcohol use in contemporary youth

open access: yesAddiction, EarlyView.
Abstract Background and aims Risky alcohol use in young adulthood is a significant public health concern. Understanding the predictors of risky drinking during this period is essential for prevention. This study aimed to measure the predictive accuracy of ensemble machine learning and identify the most important predictors of risky alcohol use in early
Lucinda Grummitt   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy