scholarly journals Executive Function in Adolescence: Associations with Child and Family Risk Factors and Self-Regulation in Early Childhood

2017 ◽  
Vol 8 ◽  
Author(s):  
Donna Berthelsen ◽  
Nicole Hayes ◽  
Sonia L. J. White ◽  
Kate E. Williams
Keyword(s):  
Risk Factors ◽  
Early Childhood ◽  
Executive Function ◽  
Self Regulation ◽  
Family Risk Factors ◽  
Family Risk

scholarly journals Early predictors of boys' antisocial trajectories

2012 ◽  
Vol 24 (3) ◽  
pp. 871-888 ◽  
Author(s):  
Daniel S. Shaw ◽  
Luke W. Hyde ◽  
Lauretta M. Brennan
Keyword(s):  
Risk Factors ◽  
Early Childhood ◽  
Early Adolescence ◽  
Low Income ◽  
Juvenile Court ◽  
Family Risk Factors ◽  
Family Risk ◽  
Multiple Risk Factors ◽  
Early Predictors ◽  
Childhood Parenting

AbstractDespite the large number of studies tracing patterns of youth antisocial behavior (AB) during adolescence, few have prospective data on the developmental precursors of AB beginning during infancy. Using a cohort of 268 low-income boys first assessed at 18 months, the current study examined predictors of early- and late-starting trajectories of AB assessed during early childhood and early adolescence. Four trajectory groups were identified, including early- and late-starting groups, a low stable group, and a high decreasing group, characterized by multiple risk factors during early childhood and early adolescence. During early childhood, parenting and maternal depression discriminated two AB trajectory groups, an early-starting and a high decreasing group, who would go on to demonstrate a high preponderance of juvenile court involvement (60% to 79%) and elevated rates of clinical depression 13 to 15 years later. The results were discussed in reference to targeting malleable family risk factors during early childhood associated with patterns of AB and mental health disorders during adolescence.

Family Risk Factors of Alcoholism and Drinking Patterns among Non Alcoholic Women: An Inverse Relationship?

1988 ◽  
Vol 16 (4) ◽  
pp. 277-282 ◽  
Author(s):  
Sonja Vaglum ◽  
Per Vaglum ◽  
Øivind Larsen
Keyword(s):  
Risk Factors ◽  
Inverse Relationship ◽  
Drinking Pattern ◽  
The Other ◽  
Drinking Patterns ◽  
Family Risk Factors ◽  
Family Risk ◽  
Alcohol Abusers ◽  
Female Employees ◽  
Family Variables

95 non alcoholic female employees were personally interviewed and divided into three drinking pattern groups with an increasing level of alcohol consumption: the traditional feminine drinking group (TF) ( n=28), the new feminine drinking group (NF) ( n=37), and the masculine drinking group (M) ( n=30). The groups were compared on family variables which may be regarded as risk factors of alcoholism. The results show an inverse relationship between family risk factors and consumption level, the TF-group having significantly more risk factors than the other two groups. The TF-women more often came from families where the mother and her parents were abstainers, while the father and his parents were more often alcohol abusers or not abstainers. The TF-women were more often attached to their alcoholic fathers as children, while the M-women were more often attached to their mothers. The choice of drinking pattern may be inversely related to the frequency of family risk factors among non alcoholic women.

The Role of Executive Function and Self-Regulation in the Development of Computational Thinking

2021 ◽  
pp. 64-83
Author(s):  
Elizabeth Kazakoff Myers
Keyword(s):  
Early Childhood ◽  
Executive Function ◽  
School Readiness ◽  
21St Century ◽  
Self Regulation ◽  
Computational Thinking ◽  
Thinking Skills ◽  
Early Childhood Curriculum ◽  
The Relationship

This chapter summarizes theoretical connections between computational thinking through learning to code, self-regulation, and executive function and discusses why it is important to continue exploring the intersection of executive function, self-regulation, and computational thinking, including the need to revisit the socio-cultural underpinnings of foundational self-regulation, executive function, and school readiness research. As an example, findings from a 2014 study that explored the relationship between self-regulation and computational thinking when learning to code are shared. Research supports the idea of teaching computational thinking skills within an integrated early childhood curriculum to support the development of well-prepared citizens for the 21st century by drawing on the connections between executive function, self-regulation, and computational thinking.

Identification of Family Risk Factors of Obesity in Urban Adolescents of North India

2015 ◽  
Vol 2 (2) ◽  
pp. 84
Author(s):  
Mohinder Singh ◽  
SuryaKant Mathur ◽  
Manish Taneja ◽  
Baljeet Maini
Keyword(s):  
Risk Factors ◽  
Urban Adolescents ◽  
North India ◽  
Family Risk Factors ◽  
Family Risk

Gestational and family risk factors for carriers of congenital heart defects in southern Brazil

2011 ◽  
Vol 53 (4) ◽  
pp. 551-557 ◽  
Author(s):  
Tatiana Diehl Zen ◽  
Rafael Fabiano Machado Rosa ◽  
Paulo Ricardo Gazzola Zen ◽  
Patrícia Trevisan ◽  
Alessandra Pawelec da Silva ◽  
...  
Keyword(s):  
Risk Factors ◽  
Congenital Heart Defects ◽  
Congenital Heart ◽  
Heart Defects ◽  
Southern Brazil ◽  
Family Risk Factors ◽  
Family Risk

scholarly journals Exploring the Contribution of Proximal Family Risk Factors on SLC6A4 DNA Methylation in Children with a History of Maltreatment: A Preliminary Study

2021 ◽  
Vol 18 (23) ◽  
pp. 12736
Author(s):  
Francesco Craig ◽  
Eleonora Mascheroni ◽  
Roberto Giorda ◽  
Maria Grazia Felline ◽  
Maria Grazia Bacco ◽  
...  
Keyword(s):  
Risk Factors ◽  
Dna Methylation ◽  
Childhood Maltreatment ◽  
Criminal History ◽  
Adverse Outcomes ◽  
Hierarchical Regression ◽  
Child Victims ◽  
Family Risk Factors ◽  
Family Risk ◽  
History Of

The cumulative effects of proximal family risk factors have been associated with a high number of adverse outcomes in childhood maltreatment, and DNA methylation of the serotonin transporter gene (SLC6A4) has been associated with child maltreatment. However, the relationships between proximal family risk factors and SLC6A4 methylation remains unexplored. We examined the association among cumulative family risk factors, maltreatment experiences and DNA methylation in the SLC6A4 gene in a sample of 33 child victims of maltreatment. We computed a cumulative family risk (CFR) index that included proximal family risk factors, such as drug or alcohol abuse, psychopathology, parents’ experiences of maltreatment/abuse in childhood, criminal history, and domestic violence. The majority of children (90.9%) experienced more than one type of maltreatment. Hierarchical regression models suggested that the higher the CFR index score and the number of maltreatment experiences, and the older the children, the higher the SLC6A4 DNA methylation levels. Although preliminary, our findings suggest that, along with childhood maltreatment experiences per se, cumulative proximal family risk factors are seemingly critically associated with DNA methylation at the SLC6A4 gene.

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