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“Know You (self) Better”: N-of-1 Based Self-Examination using Wearables and Self-Reported Behaviours for an Improved Well-Being

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“Know You (self) Better”: N-of-1 Based Self-Examination using Wearables and Self-Reported Behaviours for an Improved Well-Being

Thank You for referencing this work, if you find it useful!



Citation of a related scientific paper:

Daza, E. J., Wac, K., & Oppezzo, M. (2020, March). Effects of Sleep Deprivation on Blood Glucose, Food Cravings, and Affect in a Non-Diabetic: An N-of-1 Randomized Pilot Study. In Healthcare (Vol. 8, No. 1, p. 6). Multidisciplinary Digital Publishing Institute.
Note: new paper upcoming in 2021.



The talk details:

Igor Matias, “Know You (self) Better”: N-of-1 Based Self-Examination using Wearables and Self-Reported Behaviours for an Improved Well-Being, Data Science Clinics, April 2021, Data Science Competence Center, University of Geneva, Switzerland.

Video: https://datascience.unige.ch/recherche/data-science-clinics/12-april-2021

Thank You for referencing this work, if you find it useful!



Citation of a related scientific paper:

Daza, E. J., Wac, K., & Oppezzo, M. (2020, March). Effects of Sleep Deprivation on Blood Glucose, Food Cravings, and Affect in a Non-Diabetic: An N-of-1 Randomized Pilot Study. In Healthcare (Vol. 8, No. 1, p. 6). Multidisciplinary Digital Publishing Institute.
Note: new paper upcoming in 2021.



The talk details:

Igor Matias, “Know You (self) Better”: N-of-1 Based Self-Examination using Wearables and Self-Reported Behaviours for an Improved Well-Being, Data Science Clinics, April 2021, Data Science Competence Center, University of Geneva, Switzerland.

Video: https://datascience.unige.ch/recherche/data-science-clinics/12-april-2021

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“Know You (self) Better”: N-of-1 Based Self-Examination using Wearables and Self-Reported Behaviours for an Improved Well-Being

  1. 1. Quality of Life Technologies Lab University of Copenhagen & University of Geneva qol.unige.ch “Know You (self) Better”: N-of-1 Based Self-Examination using Wearables and Self-Reported Behaviours for an Improved Well-Being Igor Matias, the QoL Team, and Eric J. Daza 2021 Evidation Health
  2. 2. Bob is curious Bob Sleep duration (t) influence? Steps (t) Steps on the next day (t+1) influence? Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 2
  3. 3. Option #1
  4. 4. Randomised Controlled Trial (RCT) Bob Using or For X months and and Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 4 In which Forcing < 7 hours INTERVENTION Forcing ≥ 7 hours
  5. 5. Randomised Controlled Trial (RCT) Bob Why NOT? ≠ ● Expensive; ● Needs to have Intervention; ● Results are only a “Population Average”; ● etc. Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 5
  6. 6. Option #2
  7. 7. N-of-1 Randomised Controlled Trial (N1RCT) Bob In which Bob and Bob or and Bob Using For X months Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 7 Forcing < 7 hours Forcing ≥ 7 hours INTERVENTION
  8. 8. N-of-1 Randomised Controlled Trial (N1RCT) Bob Why NOT? ● Needs to have Intervention; ● etc. Forcing < 7 hours Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 8
  9. 9. Option #3
  10. 10. N-of-1 Observational Study (Single Case Obs. Design) Bob In which Bob and Bob or and Bob Using For X months Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 10 NO INTERVENTION
  11. 11. N-of-1 Observational Study (Single Case Obs. Design) Bob Why YES? ● Possible in Real Life; ● No duration limits; ● No need for Intervention; ● etc. Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 11
  12. 12. Confounding N-of-1 Observational Study (Single Case Obs. Design) Bob Limitations influence? influence! influence! influence? Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 12 influe nce! creates biased results
  13. 13. Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 13 Strong Conclusions (less bias) - + Hard to Apply to Daily-Life - + N-of-1 Observational Study N-of-1 Randomised Controlled Trial N-of-1 Observational Study With MoTR
  14. 14. N-of-1 Observational Study Example Case
  15. 15. Example case Day of study Total steps day before (log10 based) Sleep (1 - ≥ 7 hours 0 - < 7 hours) Total steps day of study (log10 based) 1 0,8 0 1,0 2 1,0 1 1,9 3 1,9 1 1,7 4 1,7 0 0,5 5 0,5 0 0,9 6 0,9 1 0,2 7 0,2 1 1,7 8 1,7 0 1,3 9 1,3 1 0,9 10 0,9 0 1,2 Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 15
  16. 16. Example case ≥ 7 hours < 7 hours Average Outcome for ≥ 7 hours of sleep (APO ≥7) Average Outcome for < 7 hours of sleep (APO <7) Potential Impact of Sleeping ≥ 7 hours in the Steps Next Day Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 16
  17. 17. ≥ 7 hours < 7 hours Average Potential Outcome for ≥ 7 hours of sleep (APO ≥7) Average Potential Outcome for < 7 hours of sleep (APO <7) Potential Impact of Sleeping ≥ 7 hours in the Steps Next Day Real-World data Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 16 Limitations Confounding influence? influence! influence! influence? influe nce! creates biased results
  18. 18. Model Twin Randomization 1st step Machine Learning Model Fit
  19. 19. Model Twin Randomization (MoTR) 1st step Fit a Machine Learning model to the data from Example Case Day of study Total steps day before (log10 based) Sleep (1 - ≥ 7 hours 0 - < 7 hours) Total steps day of study (log10 based) 1 0,8 0 1,0 2 1,0 1 1,9 3 1,9 1 1,7 4 1,7 0 0,5 5 0,5 0 0,9 6 0,9 1 0,2 7 0,2 1 1,7 8 1,7 0 1,3 9 1,3 1 0,9 10 0,9 0 1,2 INPUT OUTPUT Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 18
  20. 20. Model Twin Randomization 2nd step Randomize the Binary Variable
  21. 21. Model Twin Randomization (MoTR) 2nd step Day of study Total steps day before (log10 based) Sleep (1 - ≥ 7 hours 0 - < 7 hours) Total steps day of study (log10 based) 1 0,8 1 ? 2 ? 1 ? 3 ? 0 ? 4 ? 1 ? 5 ? 0 ? 6 ? 0 ? 7 ? 0 ? 8 ? 1 ? 9 ? 1 ? 10 ? 0 ? / Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 20 Randomize the binary variable
  22. 22. Model Twin Randomization 3rd step Predict the Output
  23. 23. Model Twin Randomization (MoTR) 3rd step Predict the output variable Day of study Total steps day before (log10 based) Sleep (1 - ≥ 7 hours 0 - < 7 hours) Total steps day of study (log10 based) 1 0,8 1 ? 2 ? 1 ? 3 ? 0 ? 4 ? 1 ? 5 ? 0 ? 6 ? 0 ? 7 ? 0 ? 8 ? 1 ? 9 ? 1 ? 10 ? 0 ? Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 22
  24. 24. Model Twin Randomization 4th step Compare Results
  25. 25. Compare the results obtained Model Twin Randomization (MoTR) 4th step (e.g. X months VS life) (approx.) Same Impact Different Impact Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 24
  26. 26. Past Work
  27. 27. Past Work (N1RCT) Using For 24 days Collecting ● Sleep Duration; ● Blood Glucose Level; ● Craving; ● Affect. Concluding Blood Glucose Sleep Deprivation influence? Craving Sleep Deprivation influence? Emotions Sleep Deprivation influence? On an Individual Scale Blood Glucose Variability Sleep Deprivation influence? Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 26 Daza, E.J.; Wac, K.; Oppezzo, M. Effects of Sleep Deprivation on Blood Glucose, Food Cravings, and Affect in a Non-Diabetic: An N-of-1 Randomized Pilot Study. Healthcare 2020, 8, 6. https://doi.org/10.3390/healthcare8010006
  28. 28. Current Work
  29. 29. Current Work Using For 4 years Collecting ● Sleep Duration; ● Physical Activity; ● Walking Performance; ● Resting Heart Rate; ● Stress Levels; ● Travelling; ● Relationships; ● Many more. Concluding Sleep Duration next night Steps on one day influence? Walking Performance Sleep Duration influence? Resting Heart Rate Steps on one day influence? On an Individual Scale - Stress - Relationship - etc. influence? - Resting Heart Rate - Sleep Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 28
  30. 30. Future Work
  31. 31. Future Work Igor Matias, M.Sc., Ph.D. Student TA @ Université de Genève | igor.matias@unige.ch | www.igormatias.com | www.qualityoflifetechnologies.com | © QoL Lab 2021 30 5 years RECRUITING
  32. 32. Quality of Life Technologies Lab qol.unige.ch Thank You Igor Matias, the QoL Team, and Eric J. Daza# Quality of Life, Center for Informatics, University of Geneva, Switzerland igormatias.com | igor.matias@unige.ch # Evidation Health, Inc. | evidation.com Images: unsplash.com, icons8.com, and flaticon.com 2021

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