This paper is in the following e-collection/theme issue:

Mobile Health (mhealth) (2941) mHealth for Wellness, Behavior Change and Prevention (2872) Fitness Trackers and Smart Pedometers/Accelerometers (561) Innovations and Technology for Physical Activity Education (742) Wearable Devices and Sensors (889) mHealth for Data Collection and Research (955) Depression and Mood Disorders; Suicide Prevention (1363) Anxiety and Stress Disorders (1053)

Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20700, first published .
Sociodemographic, Health and Lifestyle, Sampling, and Mental Health Determinants of 24-Hour Motor Activity Patterns: Observational Study

Sociodemographic, Health and Lifestyle, Sampling, and Mental Health Determinants of 24-Hour Motor Activity Patterns: Observational Study

Sociodemographic, Health and Lifestyle, Sampling, and Mental Health Determinants of 24-Hour Motor Activity Patterns: Observational Study

Authors of this article:

Sonia Difrancesco1 Author Orcid Image ;   Harriëtte Riese2 Author Orcid Image ;   Kathleen R Merikangas3 Author Orcid Image ;   Haochang Shou4 Author Orcid Image ;   Vadim Zipunnikov5 Author Orcid Image ;   Niki Antypa6 Author Orcid Image ;   Albert M van Hemert7 Author Orcid Image ;   Robert A Schoevers2 Author Orcid Image ;   Brenda W J H Penninx1 Author Orcid Image ;   Femke Lamers1 Author Orcid Image
Article Authors Cited by (11) Tweetations (4) Metrics

Journals

  1. Gianfredi V, Ferrara P, Pennisi F, Casu G, Amerio A, Odone A, Nucci D, Dinu M. Association between Daily Pattern of Physical Activity and Depression: A Systematic Review. International Journal of Environmental Research and Public Health 2022;19(11):6505 View
  2. Majcherek D, Kowalski A, Lewandowska M. Lifestyle, Demographic and Socio-Economic Determinants of Mental Health Disorders of Employees in the European Countries. International Journal of Environmental Research and Public Health 2022;19(19):11913 View
  3. Xiao Q, Lu J, Zeitzer J, Matthews C, Saint-Maurice P, Bauer C. Rest-activity profiles among U.S. adults in a nationally representative sample: a functional principal component analysis. International Journal of Behavioral Nutrition and Physical Activity 2022;19(1) View
  4. Pastre M, Lopez-Castroman J. Actigraphy monitoring in anxiety disorders: A mini-review of the literature. Frontiers in Psychiatry 2022;13 View
  5. Stein M, Baurecht H, Sedlmeier A, Konzok J, Bohmann P, Fontvieille E, Peruchet-Noray L, Bowden J, Friedenreich C, Fervers B, Ferrari P, Gunter M, Freisling H, Leitzmann M, Viallon V, Weber A. Association between circadian physical activity patterns and mortality in the UK Biobank. International Journal of Behavioral Nutrition and Physical Activity 2023;20(1) View
  6. Yeung C, Lu J, Soltero E, Bauer C, Xiao Q. U.S. Adolescent Rest-Activity patterns: insights from functional principal component analysis (NHANES 2011–2014). International Journal of Behavioral Nutrition and Physical Activity 2023;20(1) View
  7. Nawrin S, Inada H, Momma H, Nagatomi R. Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach. BMC Public Health 2024;24(1) View
  8. Li H. Comment on: Incidence and risk factors of mental illnesses among patients with systemic autoimmune rheumatic diseases: an 18-year population-based study. Rheumatology 2024 View
  9. Liang Y, Wang C, Hsiao C. Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review. Journal of Medical Internet Research 2024;26:e59497 View

Books/Policy Documents

  1. Wilson C, Crouse J, Carpenter J, Hickie I. Encyclopedia of Sleep and Circadian Rhythms. View
  2. Neustein A, Christen N. Innovative Data Integration and Conceptual Space Modeling for COVID, Cancer, and Cardiac Care. View