Results 231 to 240 of about 1,063,910 (286)

Adolescents' trajectories of mental health in the MYRIAD trial

JCPP Advances, EarlyView.
Abstract Background This study explored adolescent's mental health trajectories over the course of a school‐based mindfulness‐based intervention trial (MYRIAD). It examined whether intervention condition (mindfulness vs. teaching‐as‐usual), individual‐level and contextual‐level factors were associated with different trajectories.
Carolina Guzman Holst, Simona Skripkauskaite, Jack L. Andrews, Jesus Montero‐Marin, Verena Hinze, Tim Dalgleish, Willem Kuyken, MYRIAD team, Lucy Foulkes   +8 more
wiley   +1 more source

Investigative and policy impacts of forensic genetic genealogy in the identification of human remains. [PDF]

Forensic Sci Int Synerg
Lasyone C, Budowle B, Mittelman K, Mittelman D.   +3 more
europepmc   +1 more source

Bidirectional associations between parental negativity and child externalising problems: Social support and neighbourhood cohesion as moderators

JCPP Advances, EarlyView.
This study, using data from Avon Longitudinal Study of Parents and Children across ages 4, 7 and 8, found bidirectional associations between parental negativity and child externalising behaviour across ages 7 to 8 but not ages 4 to 7. Contrary to expectations, social support and neighbourhood cohesion did not moderate any of the cross‐lagged paths ...
Jasmine A. L. Raw, Jon Heron, Bonamy R. Oliver, Jane Gilmour, Emily Midouhas   +4 more
wiley   +1 more source

Integrating Crime Prevention and Health Promotion Programs for School-Aged Children to Decrease Anti-Social Behaviours. [PDF]

Health Promot J Austr
Silburn A, Ibrahim K.
europepmc   +1 more source

Trajectories of child emotional and behavioural difficulties before and during the COVID‐19 pandemic in a longitudinal UK cohort

JCPP Advances, EarlyView.
Abstract Background There are substantial age‐related changes in emotional and behavioural problems over childhood. In order to establish the impact of the Covid‐19 pandemic on child emotional and behavioural problems, longitudinal designs which take into account age‐related trends are needed.
Nicky Wright, Daphne Kounali, Elise Paul, Alex S. F. Kwong, Daniel Major‐Smith, Ilaria Costantini, Deborah A. Lawlor, Kapil Sayal, Helen Bould, Nicholas J. Timpson, Kate Northstone, Melanie Lewcock, Kate Tilling, Rebecca M. Pearson   +13 more
wiley   +1 more source

Patterns of fear of crime: A mixed-methods exploration of the model of experiential and expressive fear of crime. [PDF]

PLoS One
Noble J, Jardin A.
europepmc   +1 more source

Mental health measures among adolescents in 12 low‐ and middle‐income countries: Measurement invariance and cross‐sectional analyses of Disrupting Harm survey data

JCPP Advances, EarlyView.
Abstract Background Nationally representative mental health data in adolescents from low‐ and middle‐income countries (LMICs) are scarce. This study aimed to examine mental health and wellbeing indicators amongst adolescents in 12 LMICs across Eastern and Southern Africa and Southeast Asia. Methods We conducted a secondary analysis of data involving 12,
Ariadna Albajara Sáenz, Sebastian Kurten, Jennifer Saxton, Daniel Kardefelt‐Winther, Tamsin Ford, Amy Orben, Simon R. White   +6 more
wiley   +1 more source

The heterogeneous impact of public security cameras on safety perceptions in cities: Evidence from China. [PDF]

PNAS Nexus
Liang P, Liu Y, Guo Y, Zeng F.
europepmc   +1 more source

Predicting 7‐year‐olds mental health in the perinatal period: Development and internal validation of a multivariable model using the prospective ALSPAC cohort

JCPP Advances, EarlyView.
Abstract Background Mental health difficulties in childhood are increasing. Prevention is the only sustainable and ethical public health approach. However, predicting which children are most at‐risk of mental health difficulties prior to symptoms emerging remains elusive.
Emma Butler, Michelle Spirtos, Linda M. O’Keeffe, Mary Clarke   +3 more
wiley   +1 more source

Lightweight deep learning model for crime pattern recognition based on transformer with simulated annealing sparsity and CNN. [PDF]

Sci Rep
Lu H, Chen C, Ma Y, Ma Y.
europepmc   +1 more source