Linking spatial and streaming data in studies of child development

1. Linking spatial and streaming data in studies of child development Candice L. Odgers, Ph.D

3. The E-risk Longitudinal Twin Study (n=2232)

4. The E-risk Longitudinal Twin Study (n=2232)

5. Data Sources • Self Report • Resident Surveys • Police Data • ACORN • Google Street View e.g., Street-level violence and childhood obesity http://www.police.uk/metropolitan/00BEGC/crime/anti-social-behaviour/+DikOAG/

6. Data Sources • Self Report • Resident Surveys • Police Data • ACORN • Google Street View Greater London Area ACORN SES MAP

7. Data Sources • Self Report • Resident Surveys • Police Data • ACORN • Google Street View

8. Mapping Income inequality (video) Odgers, CL, Donley, S*, Caspi, A., Bates, CJ*. & Moffitt, TE. Living alongside more affluent neighbours predicts greater involvement in antisocial behavior among low-income boys. (in press). Journal of Child Psychology and Psychiatry.

9. Which child will experience better outcomes? Christopher Bates Sachiko Donley

10. only 18% of low-income children live in concentrated poverty; the remaining in mixed-to-high SES

11. Low-income children growing up alongside more affluent peers engage in more antisocial behavior than their peers in concentrated poverty Antisocial behavior age 5 (mother + teacher)

12. Ecological Momentary Assessment (EMA) on Mobile Devices EMA, new tech ambulatory assessments Dunedin Study: embedded burst design

13. EMA: Advantages and Opportunities • Capture ‘film’ versus ‘snapshot’ of life • Moving from the Lab -> Life in Context • ↓ Reduce recall bias; capture variability and reactivity • Not a new method, but is creating new possibilities for discovery • Wireless sensors, GPS, video and voice diaries Russell & Odgers (in press). Understanding the daily process of risk and resilience. In C. Peitz and C. Mattson (Eds), Oxford University Press.

14. Focus on extreme vs. routine events, • daily stressors have large effects on adult health, • need for high-quality, high-res data, • Benefits of unobtrusive measurement

15. 150 adolescents & parents • 30 days, 3x per day • Ages 12-15 years • high-risk neighborhoods • 18 month follow-up

16. ETV has immediate and next day effects on behavior, health and sleep. • Adolescents with the highest levels of exposure exhibit ‘blunted’ reactivity. • DRD4-7R carriers are the most reactive to daily triggers

17. ETV has immediate and next day effects on behavior, health and sleep. • Adolescents with the highest levels of exposure exhibit ‘blunted’ reactivity. • DRD4-7R carriers are the most reactive to daily triggers

18. ETV has immediate and next day effects on behavior, health and sleep. • Adolescents with the highest levels of exposure exhibit ‘blunted’ reactivity. • DRD4-7R carriers are the most reactive to daily triggers *Russell, MR., *Wang, L. & Odgers, CL. (submitted). Adolescents with the DRD4-7R allele are more reactive to substance exposure: Evidence for a gene-environment interaction in daily life.

19. EMA via mobile phones • Challenges with commercially available software -> move to in-house support • Data security; constant challenge • High-levels of compliance and response; but becoming increasingly challenging • Need for improved back-end analytics • Focus groups; reports of higher comfort disclosing sensitive information

20. Wireless sensors: Our Strategy • Minimize study member burden • Gather more reliable (?) data • Real time assessment, lower cost • Autosense vs. Commercial product • Endless supply of new devices • Challenges & Opportunities • Privacy (avoiding the cloud) • Building in-house capacity • Undergraduate internships (Bass) • Kumar, BD2K https://md2k.org/ Leonard Ng’eno Michael Nipper

21. Basis & Sleep George, M., & Odgers, CL. Seven fears and the science of how mobile technologies may influence adolescents’ social development, safety, cognitive performance and sleep. Perspectives in Psychological Science. George, M., Russell, MA. & Odgers, CL. (in press). How mobile technologies can advance the study of psychopathology among children and adolescents. Handbook of Developmental Psychopathology, Wiley-Blackwell.

22. Basis & Sleep George, M., & Odgers, CL. Seven fears and the science of how mobile technologies may influence adolescents’ social development, safety, cognitive performance and sleep. Perspectives in Psychological Science. George, M., Russell, MA. & Odgers, CL. (in press). How mobile technologies can advance the study of psychopathology among children and adolescents. Handbook of Developmental Psychopathology, Wiley-Blackwell.

23. Basis & Sleep George, M., & Odgers, CL. Seven fears and the science of how mobile technologies may influence adolescents’ social development, safety, cognitive performance and sleep. Perspectives in Psychological Science. George, M., Russell, MA. & Odgers, CL. (in press). How mobile technologies can advance the study of psychopathology among children and adolescents. Handbook of Developmental Psychopathology, Wiley-Blackwell.

24. Embedded “Burst” DesignDunedin Multidisciplinary Health and Development Study • 96% retention by age 38 • Three generation pilot study underway (Caspi, Hotz & Odgers) • Embedded measurement burst, ambulatory measures of sleep, activity, alongside EMA assessments • Early life adversity + momentary reactivity and the prediction of long term morbidity and mortality

25. Sachiko Donley Michael Russell Emma Hedman adaptlab.org candice.odgers@duke.edu Chris Bates Madeline George Michael Nipper Summer Robins Victor Wang Chloe Warnberg Bonnie Delaune Joy Piontak Leonard Ng’eno