Skip to main content

Carpediem: Investigating the Interactions of Health Pillars to Design Holistic Recommendations for Achieving Long-Term Changes in Lifestyle Behaviours

  • Conference paper
  • First Online:
Intelligent Computing (SAI 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 711))

Included in the following conference series:

  • 488 Accesses

Abstract

To live healthier, and longer, people must follow clear suggestions that cover the three main pillars of health: physical activity, nutrition, and sleeping. Unfortunately, due to the intrinsic and extrinsic factors, people are far to have a healthy life and, thus, there is an increase of chronic diseases, mental disorders, and premature death. CarpeDiem is a self-management system aimed at monitoring physical- and sleeping-activity, nutrition, as well as environmental data and lifestyle habits, with the final goal of providing personalized recommendations to foster behaviour change towards healthier behaviours. The purpose of this study is to analyze the existing associations between the three mentioned pillars, captured by CarpeDiem in conjunction with the current state of the art, to select which features are the most interrelated between pillars. This knowledge provides the foundations for creating a recommender system that may influence a user’s behaviour over time towards a healthy living.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Schäfer, H., et al.: Towards health (aware) recommender systems. DH ‘17, pp. 157–161. Association for Computing Machinery, New York, NY, USA (2017)

    Google Scholar 

  2. Vargiu, E., Fern ́andez, J.M., Gonzales-Gonzales, M., Morales-Garzón, J.M., Prunera-Moreda, K., Miralles, F.: A self-management system forcomplex chronic patients. Int. J. Integr. Care (IJIC) 19 (2019)

    Google Scholar 

  3. VanItallie, T.: Sleep and energy balance: interactive homeostatic systems. Metabolism 55, S30–S35 Supplement 2 (2006)

    Google Scholar 

  4. Chaput, J.-P.: Sleep patterns, diet quality and energy balance. Physiol. Behav. 134, 86–91 (2014)

    Article  Google Scholar 

  5. Warburton, D.E.R., Bredin, S.S.D.: Reflections on physical activity and health: what should we recommend? Can. J. Cardiol. 32(4), 495–504 (2016)

    Article  Google Scholar 

  6. Atoui, S., Chevance, G., Romain, A.-J., Kingsbury, C., Lachance, J.-P., Bernard, P.: Daily associations between sleep and physical activity: a systematic review and meta-analysis. Sleep Med. Rev. 57, 101426 (2021)

    Google Scholar 

  7. Chennaoui, M., Arnal, P.J., Sauvet, F., L ́eger, D.: Sleep and exercise: a reciprocal issue? Sleep Med. Rev. 20, 59–72 (2015)

    Google Scholar 

  8. Irwin, M.R., Olmstead, R., Carroll, J.E.: Sleep disturbance, sleep duration, and inflammation: A systematic review and meta-analysis of cohort studies and experimental sleep deprivation. Biol. Psychiat. 80(1), 40–52 (2016)

    Article  Google Scholar 

  9. Bromley, L.E., Booth, I., N., Kilkus, J.M., Imperial, J.G., Penev, P.D.: Sleep Restriction Decreases the Physical Activity of Adults at Risk for Type 2 Diabetes. Sleep 35(7), 977–984 (2012)

    Article  Google Scholar 

  10. Estruch, R., et al.: Primary prevention of cardiovascular disease with a mediterranean diet supplemented with extra-virgin olive oil or nuts. New England J. Med. 378(25), 34 (2018)

    Google Scholar 

  11. Noorwali, E.A., Cade, J.E., Burley, V.J., Hardie, L.J.: The relationship between sleep duration and fruit/vegetable intakes in UK adults: a cross-sectional study from the national diet and nutrition survey. BMJ Open 8(4), e20810 (2018)

    Google Scholar 

  12. Grandner, M.A., Jackson, N., Gerstner, J.R., Knutson, K.L.: Dietary nutrients associated with short and long sleep duration. data from a nationally representative sample. Appetite 64, 71–80 (2013)

    Google Scholar 

  13. St-Onge, M.-P., Crawford, A., Aggarwal, B.: Plant-Based diets: reducing cardiovascular risk by improving sleep quality? Curr. Sleep Med. Rep. 4(1), 74–78 (2018). https://doi.org/10.1007/s40675-018-0103-x

    Article  Google Scholar 

  14. Reynolds, A.C., Paterson, J.L., Ferguson, S.A., Stanley, D., Wright, K.P., Dawson, D.: The shift work and health research agenda: Considering changes in gut microbiota as a pathway linking shift work, sleep loss and circadian misalignment, and metabolic disease. Sleep Med. Rev. 34, 3–9 (2017)

    Article  Google Scholar 

  15. Gubelmann, C., Heinzer, R., Haba-Rubio, J., Vollenweider, P., Marques-Vidal, P.: Physical activity is associated with higher sleep efficiency in the general population: the colaus study. Sleep 41(7), 070 (2018)

    Article  Google Scholar 

  16. Horne, J.A., ̈Ostberg, O.: A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. Int. J. Chronobiol. 4, 97–110 (1976)

    Google Scholar 

  17. Ikonte, C.J., Mun, J.G., Reider, C.A., Grant, R.W., Mitmesser, S.H.: Micronutrient inadequacy in short sleep: analysis of the nhanes 2005–2016. Nutrients 11(10), 2335 (2019)

    Article  Google Scholar 

  18. Zuraikat, F.M., St-Onge, M.-P.: The influence of diet on sleep. In: Neurological Modulation of Sleep, pp. 205–215. Elsevier (2020)

    Google Scholar 

  19. Alcaraz-Herrera, H., Cartlidge, J., Toumpakari, Z., Western, M., Palomares, I.: Evorecsys: evolutionary framework for health and wellbeing recommender systems. User Modeling and User-Adapted Interaction 32, 883–921 (2021)

    Google Scholar 

  20. Duncan, M.J., et al.: Balanced: a randomised trial examining the efficacy of two self-monitoring methods for an app-based multi-behaviour intervention to improve physical activity, sitting and sleep in adults. BMC Public Health 16(1), 670 (2016)

    Article  Google Scholar 

  21. Murawski, B., Plotnikoff, R.C., Rayward, A.T., Vandelanotte, C., Brown, W.J., Duncan, M.J.: Randomised controlled trial using a theory-based m-health intervention to improve physical activity and sleep health in adults: the synergy study protocol. BMJ Open 8(2), e081997 (2018)

    Google Scholar 

  22. Duncan, M.J., et al.: Examining the efficacy of a multicomponent m-health physical activity, diet and sleep intervention for weight loss in overweight and obese adults: randomised controlled trial protocol. BMJ Open 8(10), e026179 (2018)

    Google Scholar 

  23. Khakurel J. Enhancing the adoption of quantified self-tracking devices. (Doctoral dissertation, University of Technology, Lappeenranta, Finland) ISBN 978–952–335–318–3 (2018)

    Google Scholar 

  24. Dulaud, P., Di Loreto, I., Mottet, D.: Self-quantification systems to support physical activity: from theory to implementation principles. Int. J. Environ. Res. Public Health 17(24), 9350 (2020)

    Article  Google Scholar 

  25. Ben ́ıtez, I., et al.: Validation of the satisfaction, alertness, timing, efficiency and duration (sated) questionnaire for sleep health measurement. Annals Am. Thoracic Soc. 17(3), 338–343 (2020)

    Google Scholar 

  26. Ohayon, M., et al.: National sleep foundation’s sleep quality recommendations: first report. Sleep Health 3(1), 6–19 (2017)

    Article  Google Scholar 

  27. Caon, M., et al.: Pegaso e-diary: user engagement and dietary behaviour change of a mobile food record for adolescents. Front. Nutr. 292, 727480 (2022)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Carolina Migliorelli .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Migliorelli, C., Ros-Freixedes, L., Gomez-Martinez, M., Sistach-Bosch, L., Orte, S. (2023). Carpediem: Investigating the Interactions of Health Pillars to Design Holistic Recommendations for Achieving Long-Term Changes in Lifestyle Behaviours. In: Arai, K. (eds) Intelligent Computing. SAI 2023. Lecture Notes in Networks and Systems, vol 711. Springer, Cham. https://doi.org/10.1007/978-3-031-37717-4_91

Download citation

Publish with us

Policies and ethics