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Sensors (Basel, Switzerland)|December 10, 2021
HARTH: A Human Activity Recognition Dataset for Machine LearningAleksej Logacjov, Kerstin Bach, Atle Kongsvold, et al.Nature and Science of Sleep|June 12, 2024
A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual InformationAleksej Logacjov, Eivind Schjelderup Skarpsno, Atle Kongsvold, et al.BMJ Open Sport & Exercise Medicine|November 3, 2025
Contribution of walking, running and cycling to moderate-to-vigorous and total physical activity in adolescents and adults across and within seasons: cross-sectional data from the Norwegian HUNT StudyAtle Kongsvold, Mats Flaaten, Eivind Schjelderup Skarpsno, et al.BMJ Open Sport & Exercise Medicine|June 24, 2025
Genetic associations with temporal trends in physical activity and body mass index across four decades: the population-based HUNT study, NorwayMats Flaaten, Atle Kongsvold, Eivind Schjelderup Skarpsno, et al.The International Journal of Behavioral Nutrition and Physical Activity|March 5, 2025
Associations of sport and exercise participation in adolescence with body composition and device-measured physical activity in adulthood: longitudinal data from the Norwegian HUNT studyAtle Kongsvold, Eivind Schjelderup Skarpsno, Mats Flaaten, et al.Heliyon|February 10, 2025
The performance of a machine learning model in predicting accelerometer-derived walking speedAleksej Logacjov, Tonje Pedersen Ludvigsen, Kerstin Bach, et al.The International Journal of Behavioral Nutrition and Physical Activity|November 28, 2023
Can the bias of self-reported sitting time be corrected? A statistical model validation study based on data from 23 993 adults in the Norwegian HUNT studyAtle Kongsvold, Mats Flaaten, Aleksej Logacjov, et al.British Journal of Sports Medicine|August 22, 2024
Intergenerational and genetic influences on physical activity: family data from the HUNT study, NorwayMats Flaaten, Eivind Schjelderup Skarpsno, Atle Kongsvold, et al.JMIR Mhealth and Uhealth|September 1, 2023
The Role of Pain Duration and Pain Intensity on the Effectiveness of App-Delivered Self-Management for Low Back Pain (selfBACK): Secondary Analysis of a Randomized Controlled TrialAnne Lovise Nordstoga, Lene Aasdahl, Louise Fleng Sandal, et al.Journal of Activity, Sedentary and Sleep Behaviors|November 6, 2024
Assessing the level of device-measured physical activity according to insomnia symptoms in 1,354 individuals with diabetes: the HUNT Study, NorwaySofie Rath Mortensen, Paul Jarle Mork, Søren T Skou, et al.Pageof 2