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Fakultät Kunst- und Sportwissenschaften
Blick auf das Institut für Sport und Sportwissenschaft und die umliegende Umgebung aus erhöhter Perspektive © IfSS​/​TU Dortmund

List of publications

Peer-reviewed scientific articles

Selected journal articles

  1. Sameh Alireza, Rostami Mehrdad, Oussalah Mourad, Korpelainen Raija, Farrahi Vahid. Digital phenotypes and digital biomarkers for health and diseases: a systematic review of machine learning approaches utilizing passive non-invasive signals collected via wearable devices and smartphones. Artif Intell Rev. 2024;58(2):66. DOI: 10.1007/s10462-024-11009-5
  2. Seppänen Marjo, Lankila Tiina, Niemelä Maisa, Rautio Nina, Korpisaari Maija, Timonen Markku, Korpelainen Raija, Farrahi Vahid. Compositional associations of 24-h physical activities, sedentary time and sleep with depressive symptoms in urban and rural residents: a cross-sectional study. BMC Med. 2025;23(219). DOI: https://doi.org/10.1186/s12916-025-04051-9
  3. Niemelä Maisa, Maijala Annsa, Nauha Laura, Jämsä Timo, Korpelainen Raija, Farrahi Vahid. Associations of Wearable Ring Measured Sleep, Sedentary Time, and Physical Activity With Cardiometabolic Health: A Compositional Data Analysis Approach. Scand J Med Sci Sports. 2024;34(8):e14710. DOI: https://doi.org/10.1111/sms.14710
  4. Farrahi Vahid, Collings Paul J, Oussalah Mourad. Deep learning of movement behavior profiles and their association with markers of cardiometabolic health. BMC Med Inform Decis Mak. 2024;24(1):74. DOI: https://doi.org/10.1186/s12911-024-02474-7
  5. Farrahi Vahid, Usman Muhammad, Rostami Mehrdad, Oussalah Mourad. AccNet24: A deep learning framework for classifying 24-hour activity behaviours from wrist-worn accelerometer data under free-living environments. Int J Med Inform. 2023;172:105004. DOI: https://doi.org/10.1016/j.ijmedinf.2023.105004
  6. Rostami Mehrdad, Oussalah Mourad, Berahmand Kamal, Farrahi Vahid. Community Detection Algorithms in Healthcare Applications: A Systematic Review. IEEE Access. 2023;11:30247–72. DOI: 10.1109/ACCESS.2023.3260652
  7. Farrahi Vahid, Rostami Mehrdad. Machine learning in physical activity, sedentary, and sleep behavior research. J Act Sedentary Sleep Behav. 2024;3(1):5. DOI: https://doi.org/10.1186/s44167-024-00045-9
  8. Ahmadian Sajad, Rostami Mehrdad, Farrahi Vahid, Oussalah Mourad. A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning. Neural Networks 2024;173:106159. DOI: https://doi.org/10.1016/j.neunet.2024.106159
  9. Farrahi Vahid, Rostami Mehrdad, Dumuid Dot, Chastin Sebastien FM, Niemelä Maisa, Korpelainen Raija, Jämsä Timo, Oussalah Mourad. Joint Profiles of Sedentary Time and Physical Activity in Adults and their Associations with Cardiometabolic Health. Med Sci Sport Exerc. 2022;54(12):2118–28. DOI: 10.1249/MSS.0000000000003008.
  10. Nauha Laura, Farrahi Vahid, Jurvelin Heidi, Jämsä Timo, Niemelä Maisa, Ala-Mursula Leena, Kangas Maarit, Korpelainen Raija. Regularity of bedtime, wake-up time, and time in bed in mid-life: associations with cardiometabolic health markers with adjustment for physical activity and sedentary time. J Act Sedentary Sleep Behav. 2024;3(1):2. DOI: https://doi.org/10.1186/s44167-023-00040-6

Other journal articles 

  1. Karppanen Anna-Kaisa, Miettunen Jouko, Hurtig Tuula, Leinonen Anna-Maiju, Korpelainen Raija, Farrahi Vahid. Anhedonia and 24-hour movement behaviours in adulthood. J Affect Disord Reports. 2025;20:100911. DOI: https://doi.org/10.1016/j.jadr.2025.100911
  2. Herold Fabian, Zou Liye, Theobald Paula, Manser Patrick, Falck Ryan S, Yu Qian, Liu-Ambrose Teresa, Kramer Arthur F, Erickson Kirk I, Cheval Boris, Chen Yanxia, Heath Matthew, Zhang Zhihao, Ishihara Toru, Kamijo Keita, Ando Soichi, Costello Joseph T, Hallgren Mats, Moreau David, Farrahi Vahid, Raichlen David A., Stamatakis Emmanuel, Wheeler Michael J., Owen Neville, Ludyga Sebastian, Budde Henning, Gronwald Thomas. Beyond FITT: addressing density in understanding the dose–response relationships of physical activity with health—an example based on brain health. Eur J Appl Physiol. 2025; DOI: 10.1007/s00421-025-05858-3
  3. Sañudo Borja, Reverte-Pagola Gonzalo, Maher Carol, Godino Job, Carrasco Luis, Oviedo Miguel Ángel, Feria Adrián, Sánchez-Trigo Horacio, Gamboa Hugo, Domingo-Molina Raquel, Sánchez-Arteaga Alejandro, Giráldez Miguel Ángel, Martínez-Maestre Ma Ángeles, Cepeda Elena, Ladrón-de-Guevara Carmen, Rangel Carlos, Pecci Javier, Farrahi Vahid, Tejero Sergio. Effectiveness of an mHealth-based impact exercise program for bone health in postmenopausal women: a randomised controlled trial protocol. BMC Public Health . 2025;25(1):2426. DOI: 10.1186/s12889-025-22576-9
  4. Ahmadian Sajad, Rostami Mehrdad, Jalali Seyed Mohammad Jafar, Oussalah Mourad, Farrahi Vahid. A healthy and reliable rating profile expansion approach to address data sparsity in food recommendation systems. Knowl Inf Syst. 2025; DOI: 10.1007/s10115-024-02331-z
  5. Sun Zhiyuan, Yuan Yunhao, Farrahi Vahid, Herold Fabian, Xia Zhengwang, Xiong Xuan, Qiao Zhiyuan, Shi Yifan, Yang Yahui, Qi Kai, Liu Yufei, Xu Decheng, Zou Liye, Chen Aiguo. Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES. BMC Public Health. 2024;24(1):3034. DOI: 10.1186/s12889-024-20510-z
  6. Kiema-Junes Heli, Saarinen Aino, Korpelainen Raija, Ala-Mursula Leena, Niemelä Maisa, Farrahi Vahid, Hintsanen Mirka. The association between leisure-time physical activity and cardiorespiratory and muscular fitness and job strain—Study with a Northern Finland birth cohort of 1966. Stress Heal. 2024;40(5):e3477. DOI: https://doi.org/10.1002/smi.3477
  7. Pesonen E, Farrahi V, Brakenridge CJ, Ollila MM, Morin-Papunen LC, Nurkkala M, Jämsä T, Korpelainen R, Moran LJ, Piltonen TT, Niemelä M. 24-hour movement behaviours and cardiometabolic markers in women with polycystic ovary syndrome (PCOS): a compositional data analysis. Hum Reprod. 2024;39(12):2830–47. DOI: 10.1093/humrep/deae232
  8. Korpisaari Maija, Puhakka Soile, Farrahi Vahid, Niemelä Maisa, Tulppo Mikko, Ikäheimo Tiina, Korpelainen Raija, Lankila Tiina. Physical activity, residential greenness, and cardiac autonomic function. Scand J Med Sci Sports. 2024;34(1):e14505. DOI: https://doi.org/10.1111/sms.14505
  9. Rostami Mehrdad, Berahmand Kamal, Forouzandeh Saman, Ahmadian Sajad, Farrahi Vahid, Oussalah Mourad. A novel healthy food recommendation to user groups based on a deep social community detection approach. Neurocomputing. 2024;576:127326. DOI: https://doi.org/10.1016/j.neucom.2024.127326
  10. Keiser Thomas, Katz Sarah, Robson Shannon M, Greaney Jody L, Healy Sean, Malone Susan K, Farrahi Vahid, Patterson Freda. Association between time-of-day for eating, exercise, and sleep with blood pressure in adults with elevated blood pressure or hypertension: a systematic review. J Hypertens. 2024;42(6):95.  DOI: 10.1097/HJH.0000000000003732.
  11. Leviäkangas Aleksi, Korpelainen Raija, Pinola Pekka, Fridolfsson Jonatan, Nauha Laura, Jämsä Timo, Farrahi Vahid. Associations of accelerometer-estimated free-living daily activity impact intensities with 10-year probability of osteoporotic fractures in adults. Gait Posture. 2024;112:22–32. DOI: https://doi.org/10.1016/j.gaitpost.2024.05.002
  12. Farrahi Vahid, Rostami Mehrdad, Nauha Laura, Korpisaari Maija, Niemelä Maisa, Jämsä Timo, Korpelainen Raija, Oussalah Mourad. Replacing sedentary time with physical activity and sleep: Associations with cardiometabolic health markers in adults. Scand J Med Sci Sports. 2023;33(6):907–20. DOI: https://doi.org/10.1111/sms.14323
  13. Niemelä Maisa, Kiviniemi Antti, Ikäheimo Tiina M, Tulppo Mikko, Korpelainen Raija, Jämsä Timo, Farrahi Vahid. Compositional association of 24-hour movement behavior with incident major adverse cardiac events and all-cause mortality. Scand J Med Sci Sports. 2023;33(5):641–50. DOI: https://doi.org/10.1111/sms.14315
  14. Rostami Mehrdad, Farrahi Vahid, Ahmadian Sajad, Jalali Seyed Mohammad Jafar, Oussalah Mourad. A novel healthy and time-aware food recommender system using attributed community detection. Expert Syst Appl. 2023;221(119719). DOI: https://doi.org/10.1016/j.eswa.2023.119719
  15. Junttila Hanna Elina, Vaaramo Mikko Matias, Huikari Sanna Martta, Kari Jaana Tuulikki, Leinonen Anna-Maiju, Farrahi Vahid, Korpelainen Raija, Korhonen Marko Juhani. Association of accelerometer-measured physical activity and midlife income: A Northern Finland Birth Cohort 1966 Study. Scand J Med Sci Sports. 2023;33(9):1765–78. DOI: https://doi.org/10.1111/sms.14421
  16. Nauha Laura, Farrahi Vahid, Jurvelin Heidi, Jämsä Timo, Niemelä Maisa, Kangas Maarit, Korpelainen Raija. Comparison and agreement between device-estimated and self-reported sleep periods in adults. Ann Med. 2023;55(1):2191001. DOI: https://doi.org/10.1080/07853890.2023.2191001
  17. Kari Jaana T, Nerg Iiro, Huikari Sanna, Leinonen Anna-Maiju, Nurkkala Marjukka, Farrahi Vahid, Korpelainen Raija, Korhonen Marko. The Individual-level Productivity Costs of Physical Inactivity. Med Sci Sports Exerc. 2023;55(2):255–263. DOI: 10.1249/MSS.0000000000003037
  18. Rautio Nina, Seppänen Marjo, Timonen Markku, Puhakka Soile, Kärmeniemi Mikko, Miettunen Jouko, Lankila Tiina, Farrahi Vahid, Niemelä Maisa, Korpelainen Raija. Associations between neighbourhood characteristics, physical activity and depressive symptoms: the Northern Finland Birth Cohort 1966 Study. Eur J Public Health. 2023;34(1):114–20. DOI: 10.1093/eurpub/ckad215
  19. Tjurin Petra, Niemelä Maisa, Kangas Maarit, Nauha Laura, Vähä-Ypyä Henri, Sievänen Harri, Korpelainen Raija, Farrahi Vahid, Jämsä Timo. Cross-Sectional Associations of Sedentary Behavior and Sitting with Serum Lipid Biomarkers in Midlife. Med Sci Sports Exerc. 2022 Aug;54(8):1261–70. DOI: 10.1249/MSS.0000000000002916
  20. Ahmadian Sajad, Rostami Mehrdad, Jalali Seyed Mohammad Jafar, Oussalah Mourad, Farrahi Vahid. Healthy Food Recommendation Using a Time-Aware Community Detection Approach and Reliability Measurement. Int J Comput Intell Syst. 2022;15:105. DOI: https://doi.org/10.1007/s44196-022-00168-4
  21. Rostami Mehrdad, Muhammad Usman, Forouzandeh Saman, Berahmand Kamal, Farrahi Vahid, Oussalah Mourad. An Effective Explainable Food Recommendation using Deep Image Clustering and Community detection. Intell Syst with Appl. 2022;200157. DOI: 10.1016/j.iswa.2022.200157
  22. Alahuhta Janne, Tukiainen Helena, Toivanen Maija, Ala-Hulkko Terhi, Farrahi Vahid, Hjort Jan, Ikäheimo Tiina M, Lankila Tiina, Maliniemi Tuija, Puhakka Soile, others. Acknowledging geodiversity in safeguarding biodiversity and human health. Lancet Planet Heal. 2022;6(12):e987–92. DOI: https://doi.org/10.1016/S2542-5196(22)00259-5
  23. Rostami Mehrdad, Oussalah Mourad, Farrahi Vahid. A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering. IEEE Access. 2022;10:52508–24. DOI: 10.1109/ACCESS.2022.3175317
  24. Farrahi Vahid, Kangas Maarit, Kiviniemi Antti, Puukka Katri, Korpelainen Raija, Jämsä Timo. Accumulation patterns of sedentary time and breaks and their association with cardiometabolic health markers in adults. Scand J Med Sci Sports. 2021;31(7):1489–507. DOI: https://doi.org/10.1111/sms.13958  NOMINATED FOR BEST PUBLICATION IN 2021 AND RECEIVED HIGHT COMMENDATION: see the editorial at https://onlinelibrary.wiley.com/doi/10.1111/sms.14139
  25. Chong Joana, Tjurin Petra, Niemelä Maisa, Jämsä Timo, Farrahi Vahid. Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithms. Gait Posture. 2021;89:45–53. DOI: https://doi.org/10.1016/j.gaitpost.2021.06.017
  26. Farrahi Vahid, Kangas Maarit, Walmsley Rosemary, Niemelä Maisa, Kiviniemi Antti, Puukka Katri, Collings Paul J, Korpelainen Raija, Jämsä Timo. Compositional associations of sleep and activities within the 24-h cycle with cardiometabolic health markers in adults. Med Sci Sports Exerc. 2021;53(2):324–32. DOI: 10.1249/MSS.0000000000002481
  27. Farrahi Vahid, Niemelä Maisa, Kärmeniemi Mikko, Puhakka Soile, Kangas Maarit, Korpelainen Raija, Jämsä Timo. Correlates of physical activity behavior in adults: a data mining approach. Int J Behav Nutr Phys Act. 2020;17(1):94. DOI: 10.1186/s12966-020-00996-7
  28. Farrahi Vahid, Niemelä Maisa, Tjurin Petra, Kangas Maarit, Korpelainen Raija, Jämsä Timo. Evaluating and enhancing the generalization performance of machine learning models for physical activity intensity prediction from raw acceleration data. IEEE J Biomed Heal Informatics. 2020;24(1):27–38. DOI: 10.1109/JBHI.2019.2917565
  29. Niemelä Maisa, Kiviniemi Antti, Kangas Maarit, Farrahi Vahid, Leinonen Anna-Maiju, Ahola Riikka, Tammelin Tuija, Puukka Katri, Auvinen Juha, Korpelainen Raija, Jämsä Timo. Prolonged bouts of sedentary time and cardiac autonomic function in midlife. Transl Sport Med. 2019;2(6):341–50. DOI: https://doi.org/10.1002/tsm2.100
  30. Farrahi Vahid, Niemelä Maisa, Kangas Maarit, Korpelainen Raija, Jämsä Timo. Calibration and validation of accelerometer-based activity monitors: a systematic review of machine-learning approaches. Gait Posture. 2019;68:285–99. DOI: https://doi.org/10.1016/j.gaitpost.2018.12.003
  31. Niemelä Maisa, Kangas Maarit, Farrahi Vahid, Kiviniemi Antti, Leinonen Anna-Maiju, Ahola Riikka, Puukka Katri, Auvinen Juha, Korpelainen Raija, Jämsä Timo. Intensity and temporal patterns of physical activity and cardiovascular disease risk in midlife. Prev Med (Baltim). 2019;124:33–41. DOI: https://doi.org/10.1016/j.ypmed.2019.04.023

Commentry

  1. Farrahi Vahid, Clare Philip. Artificial Intelligence and Machine Learning—Powerful Yet Underutilized Tools and Algorithms in Physical Activity and Sedentary Behavior Research. J Phys Act Heal. 2024;21(4):320–2. DOI: https://doi.org/10.1123/jpah.2024-0021

Book chapter

  1. Farrahi Vahid, Sanchez-Trigo Horacio, Schmidt Marcus, Jaitner Thomas. Künstliche Intelligenz zur Förderung von körperlicher Aktivität BT  - Künstliche Intelligenz und maschinelles Lernen in der Sportwissenschaft. In: Memmert D, editor. Berlin, Heidelberg: Springer Berlin Heidelberg; 2025. p. 303–17. DOI: 10.1007/978-3-662-68950-9_18

Conference proceeding

  1. Rostami Merhrdad, Farrahi Vahid, Berahmand Kamal, Forouzandeh Saman, Ahmadian Sajad, Oussalah Mourad. A Novel Explainable and Health-aware Food Recommender System. In: Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 3: KMIS. SciTePress; 2022. p. 208–15. Available from: https://www.scitepress.org/Papers/2022/115617/115617.pdf

 

Doctoral thesis

  • Laura Nauha (2024), “Chronotype, physical activity, sedentary behaviors, and sleep regularity: associations with cardiometabolic health at midlife”, Faculty of Medicine, University of Oulu. My role: co-investigator, persistent link: https://oulurepo.oulu.fi/handle/10024/50225
  • Vahid Farrahi (2021, own thesis): ‘Sedentary time, physical activity and cardiometabolic health: accelerometry-based study in the Northern Finland Birth Cohort 1966’, persistent link: http://urn.fi/urn:isbn:9789526229461

Master thesis

  • Henri Lamberg (2024), “Accelerometer-estimated 24-hour movement behaviors during work and leisure time”, Faculty of Information Technology and Electrical Engineering, University of Oulu. My role: Primary supervisor, persistent link with limited access: https://urn.fi/URN:NBN:fi:oulu-202408155441
  • Clarence Tan (2024), “Association of 24-hour movement behaviors with depressive symptoms and anxiety in the Northern Finland Birth Cohort 1966”, Faculty of Medicen, University of Oulu. My role: Primary supervisor.
  • Aleksi Leviäkangas (2023), “Associations of accelerometer-estimated free-living daily activity impact intensities with 10-year probability of osteoporotic fractures in adults”, Faculty of Medicine, University of Oulu. My role: Primary supervisor, persistent link with limited access: https://urn.fi/URN:NBN:fi:oulu-202306162595
  • Awais Ali Kolachi (2021), “Accelerometer-based metrics for physical activity and bone health”, Faculty of Medicine, University of Oulu. My role: co-supervisor.
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