Title |
The Promise and Challenges of Intensive Longitudinal Designs for Imbalance Models of Adolescent Substance Use
|
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Published in |
Frontiers in Psychology, August 2018
|
DOI | 10.3389/fpsyg.2018.01576 |
Pubmed ID | |
Authors |
David M. Lydon-Staley, Danielle S. Bassett |
Abstract |
Imbalance models of adolescent brain development attribute the increasing engagement in substance use during adolescence to within-person changes in the functional balance between the neural systems underlying socio-emotional, incentive processing, and cognitive control. However, the experimental designs and analytic techniques used to date do not lend themselves to explicit tests of how within-person change and within-person variability in socio-emotional processing and cognitive control place individual adolescents at risk for substance use. For a more complete articulation and a more stringent test of these models, we highlight the promise and challenges of using intensive longitudinal designs and analysis techniques that encompass many (often >10) within-person measurement occasions. Use of intensive longitudinal designs will lend researchers the tools required to make within-person inferences in individual adolescents that will ultimately align imbalance models of adolescent substance use with the methodological frameworks used to test them. |
X Demographics
Geographical breakdown
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United States | 1 | 25% |
India | 1 | 25% |
Switzerland | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 9 | 26% |
Student > Doctoral Student | 4 | 11% |
Researcher | 3 | 9% |
Student > Bachelor | 2 | 6% |
Student > Postgraduate | 2 | 6% |
Other | 7 | 20% |
Unknown | 8 | 23% |
Readers by discipline | Count | As % |
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Psychology | 15 | 43% |
Medicine and Dentistry | 3 | 9% |
Nursing and Health Professions | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Other | 4 | 11% |
Unknown | 10 | 29% |