Supplemental Material for The Development of Effortful Control From Late Childhood to Young Adulthood

2020 ◽  
Vol 119 (2) ◽  
pp. 417-456 ◽  
Author(s):  
Olivia E. Atherton ◽  
Katherine M. Lawson ◽  
Richard W. Robins

2019 ◽  
Author(s):  
Rodica I. Damian ◽  
Olivia E. Atherton ◽  
Katherine M. Lawson ◽  
Richard Robins

The present research examined: (a) the co-development of chores and effortful control, and (b) the prospective impact of effortful control development (i.e., initial levels and the trajectory of effortful control from late childhood through adolescence) on work outcomes in young adulthood. We used data from a longitudinal study of 674 Mexican-origin youth assessed at ages 10, 12, 14, 16, and 19. We found no evidence of co-developmental associations between chores and effortful control, but we found that higher initial levels of effortful control (age 10) predicted working-student status, less job stress, and better job fit, and steeper increases in effortful control from age 10 to 16 predicted higher job satisfaction and job autonomy in young adulthood (age 19).


2016 ◽  
Vol 30 (1) ◽  
pp. 31-44 ◽  
Author(s):  
C. Emily Durbin ◽  
Brian M. Hicks ◽  
Daniel M. Blonigen ◽  
Wendy Johnson ◽  
William G. Iacono ◽  
...  

We explored patterns of self–reported personality trait change across late childhood through young adulthood in a sample assessed up to four times on the lower order facets of Positive Emotionality, Negative Emotionality (NEM), and Constraint (CON). Multilevel modelling analyses were used to describe both group– and individual–level change trajectories across this time span. There was evidence for nonlinear age–related change in most traits, and substantial individual differences in change for all traits. Gender differences were detected in the change trajectories for several facets of NEM and CON. Findings add to the literature on personality development by demonstrating robust nonlinear change in several traits across late childhood to young adulthood, as well as deviations from normative patterns of maturation at the earliest ages. Copyright © 2015 European Association of Personality Psychology


2021 ◽  
Vol 58 ◽  
pp. 101039
Author(s):  
Emilie Salvia ◽  
Ania Aïte ◽  
Julie Vidal ◽  
Grégoire Borst

2021 ◽  
Vol 86 ◽  
pp. 169-173
Author(s):  
Adam W. Kiefer ◽  
Cortney N. Armitano-Lago ◽  
Brian L. Cone ◽  
Scott Bonnette ◽  
Christopher K. Rhea ◽  
...  

SLEEP ◽  
2021 ◽  
Author(s):  
Maria Jalbrzikowski ◽  
Rebecca Hayes ◽  
Kathleen E Scully ◽  
Peter L Franzen ◽  
Brant P Hasler ◽  
...  

Abstract Study Objectives Structural brain maturation and sleep are complex processes that exhibit significant changes over adolescence and are linked to many physical and mental health outcomes. We investigated whether sleep-gray matter relationships are developmentally-invariant (i.e., stable across age) or developmentally-specific (i.e., only present during discrete time windows) from late childhood through young adulthood. Methods We constructed the Neuroimaging and Pediatric Sleep Databank from 8 research studies conducted at the University of Pittsburgh (2009- 2020). Participants completed a T1-weighted structural MRI scan (sMRI) and 5-7 days of wrist actigraphy to assess naturalistic sleep. The final analytic sample consisted of 225 participants without current psychiatric diagnoses (9-25 years). We extracted cortical thickness and subcortical volumes from sMRI. Sleep patterns (duration, timing, continuity, regularity) were estimated from wrist actigraphy. Using regularized regression, we examined cross-sectional associations between sMRI measures and sleep patterns, as well as the effects of age, sex, and their interaction with sMRI measures on sleep. Results Shorter sleep duration, later sleep timing, and poorer sleep continuity were associated with thinner cortex and altered subcortical volumes in diverse brain regions across adolescence. In a discrete subset of regions (e.g., posterior cingulate), thinner cortex was associated with these sleep patterns from late childhood through early-to-mid adolescence but not in late adolescence and young adulthood. Conclusions In childhood and adolescence, developmentally-invariant and developmentally-specific associations exist between sleep patterns and gray matter structure, across brain regions linked to sensory, cognitive, and emotional processes. Sleep intervention during specific developmental periods could potentially promote healthier neurodevelopmental outcomes.


2005 ◽  
Vol 37 (Supplement) ◽  
pp. S369 ◽  
Author(s):  
Adam D. Baxter-Jones ◽  
Amber D. Mosewich ◽  
Kara M. Spencer ◽  
Kent C. Kowalski

2021 ◽  
Author(s):  
Maria Jalbrzikowski ◽  
Rebecca Hayes ◽  
Kathleen E. Scully ◽  
Peter L. Franzen ◽  
Brant P. Hasler ◽  
...  

ABSTRACTImportanceStructural brain maturation and sleep are complex processes that exhibit significant changes over adolescence and are linked to healthy physical and mental development. The precise timing and magnitude of these changes influence function throughout the lifespan. However, the relationships between gray matter structure and sleep patterns during adolescence are not fully understood. A detailed characterization of brain-sleep associations during this sensitive period is crucial for understanding factors contributing to optimal neurodevelopmental trajectories in adolescence.ObjectiveTo investigate whether sleep-gray matter relationships are developmentally-invariant (i.e., stable across age) or developmentally-specific (i.e., only present during discrete time windows) from late childhood through young adulthood.SettingThe Neuroimaging and Pediatric Sleep Databank was constructed from 8 research studies conducted at the University of Pittsburgh between 2009 and 2020.ParticipantsThe final sample consisted of 240 participants without current psychiatric diagnoses (9-25 years), and with good quality sleep tracking and structural MRI (sMRI) data.DesignParticipants completed a sMRI scan and 5-7 days of wrist actigraphy to assess naturalistic sleep. We examined cross-sectional associations between sMRI measures and sleep patterns, as well as the effects of age, sex, and their interaction with sMRI measures on sleep.Main Outcome(s) and Measure(s)Using Freesurfer software, we extracted cortical thickness and subcortical volumes from T1-weighted MRI. Sleep patterns (duration, timing, continuity, regularity) were estimated from wrist actigraphy.ResultsShorter sleep duration, later sleep timing, and poorer sleep continuity were associated with a stable pattern of thinner cortex and altered subcortical volumes in diverse brain regions across adolescence. In a discrete subset of regions (e.g., posterior cingulate), thinner cortex was associated with these sleep patterns from late childhood through early-to-mid adolescence, but not in late adolescence and young adulthood.Conclusions and RelevanceIn childhood and adolescence, developmentally-invariant and developmentally-specific associations exist between sleep patterns and gray matter structure, in a wide array of brain regions linked to many sensory, cognitive, and emotional processes. Sleep intervention during specific developmental periods could potentially promote healthier neurodevelopmental outcomes.KEY POINTSQuestionDoes age modulate associations between gray matter structure and actigraphic sleep patterns across adolescent development?FindingsThis cross-sectional study reports stable associations between regional gray matter structure and shorter duration, later timing, and poorer continuity of sleep from ages 9 to 25 years-old, as well as developmentally-specific associations that are present only from late childhood to early-to-mid adolescence.MeaningStronger coupling of gray matter and sleep patterns from late childhood to early-to-mid adolescence potentially implicates this discrete developmental window as a period of vulnerability to adverse sleep-brain interactions. Sleep intervention during this developmental stage may support healthier neurodevelopmental trajectories.


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