Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Data Collection by Observations01:08

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
Substance Use Disorders Affecting Sleep01:24

Substance Use Disorders Affecting Sleep

Substance use disorders involve a pattern of using drugs more extensively than intended and continuing use despite harmful consequences. This includes legal substances like alcohol and nicotine, as well as illegal drugs. These disorders often involve both physical and psychological dependence, reflecting compulsive use of substances that significantly alter thoughts, feelings, and behaviors, contributing to a major public health issue.
Understanding the concepts of physical dependence,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Examining the Association Between Internet Use and Perceived Stress in Adults: Longitudinal Observational Study Combining Web Tracking Data With Questionnaires.

Journal of medical Internet research·2026
Same author

Multimodal Sleep Measurement and Alignment Analysis in Outpatients With Major Depressive Episode: Observational Study.

JMIR mHealth and uHealth·2025
Same author

Multimodal Digital Phenotyping Study in Patients With Major Depressive Episodes and Healthy Controls (Mobile Monitoring of Mood): Observational Longitudinal Study.

JMIR mental health·2025
Same author

Predicting and Monitoring Symptoms in Patients Diagnosed With Depression Using Smartphone Data: Observational Study.

Journal of medical Internet research·2024
Same author

Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach.

JMIR formative research·2024
Same author

The impact of the COVID-19 pandemic on daily rhythms.

Journal of the American Medical Informatics Association : JAMIA·2023
Same journal

Alleviating Nurse Burnout With an Artificial Intelligence-Selected Mobile Cognitive Behavioral Therapy-Based Intervention: Mixed Methods Randomized Controlled Trial.

JMIR mHealth and uHealth·2026
Same journal

Efficacy of a Cognitive Behavioral Therapy-Based Online Self-Help Group for Depression and Suicide Ideation: Randomized Controlled Trial.

JMIR mHealth and uHealth·2026
Same journal

Inclusive Contactless Monitoring for Older Adults From Diverse Backgrounds: Mixed Methods Study.

JMIR mHealth and uHealth·2026
Same journal

Systematic and Collaborative Approach to Learning and Educational Content Development (SCALED) for Health Apps: An Experience-Informed Conceptual Framework.

JMIR mHealth and uHealth·2026
Same journal

Effects of Telerehabilitation Based on Motion Recognition Technology on Exercise Endurance of Patients With Non-Small Cell Lung Cancer After Surgery: Single-Center, Prospective, Open-Label, Randomized Controlled Trial.

JMIR mHealth and uHealth·2026
Same journal

Feasibility and Acceptability of mPallCare<i>,</i> a Digital Health Intervention for People Living With Advanced Cancer in a Refugee Settlement in Uganda: Mixed Methods Study.

JMIR mHealth and uHealth·2026
See all related articles

Related Experiment Video

Updated: Jul 6, 2026

Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

7.6K

Sleep During the COVID-19 Pandemic: Longitudinal Observational Study Combining Multisensor Data With Questionnaires.

Nguyen Luong1, Gloria Mark2, Juhi Kulshrestha1

  • 1Department of Computer Science, Aalto University, Espoo, Finland.

JMIR Mhealth and Uhealth
|September 3, 2024
PubMed
Summary
This summary is machine-generated.

Stricter COVID-19 pandemic measures increased total sleep time and delayed sleep midpoints in working adults. Lifestyle factors like physical activity and sleep habits also significantly influenced sleep patterns during this period.

Keywords:
COVID-19Finlandcomputational social sciencedigital healthfitness trackerfitness trackersisolationlongitudinalobservational studyquestionnairessleepsleep patternsleep patternssleeping habitsleeping habitssurveyswearablewearableswork from home

More Related Videos

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

11.9K
Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

2.4K

Related Experiment Videos

Last Updated: Jul 6, 2026

Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

7.6K
Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

11.9K
Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
15:00

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

2.4K

Area of Science:

  • Sleep science
  • Epidemiology
  • Occupational health

Background:

  • COVID-19 containment measures altered sleep routines.
  • Previous studies often overlooked seasonal variations and physical activity's impact on sleep.

Purpose of the Study:

  • To longitudinally examine sleep pattern changes in working adults during the COVID-19 pandemic.
  • To investigate associations between sleep and demographics, habits, physical activity, pandemic constraints, and seasonality.

Main Methods:

  • A 1-year study (June 2021-June 2022) in Finland with 112 working adults.
  • Collected multisensor data from wearable trackers and monthly questionnaires.
  • Analyzed 27,350 nights of sleep data using linear mixed models.

Main Results:

  • Stricter pandemic measures correlated with increased total sleep time and delayed midsleep.
  • Snoozing behavior, occupational type, and timing of physical activity affected sleep duration and variability.
  • High intradaily rest-activity variability was linked to shorter sleep duration and earlier midsleep.

Conclusions:

  • Pandemic-related factors, lifestyle choices, and work arrangements significantly impact sleep patterns.
  • Understanding these interactions is crucial for optimizing workforce well-being and performance post-pandemic.