Related Experiment Video
Updated: Oct 4, 2025
15:00
Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
Published on: February 3, 2023
2.7K
A Longitudinal Study of Fitbit Usage Behavior Among College Students.
Cheng Wang1, Omar Lizardo2, David S Hachen3
1Department of Sociology, Wayne State University, Detroit, Michigan, USA.
Cyberpsychology, Behavior and Social Networking
|February 2, 2022
Summary
Fitbit users often trust device data and adjust habits, but this trust and usage intensity do not necessarily lead to actual changes in physical activity or sleep levels. Understanding technology
Area of Science:
- Behavioral science
- Human-computer interaction
- Digital health
Background:
- Wearable devices like Fitbit offer objective data on physical activity and sleep.
- Understanding the development of user patterns and underlying mechanisms for wearable technology is limited.
Purpose of the Study:
- To longitudinally analyze Fitbit usage patterns among college students.
- To examine the relationships between trust, usage intensity, and behavioral adjustment based on Fitbit data.
Main Methods:
- Longitudinal analysis of survey and Fitbit data from 692 undergraduates.
- Structural equation modeling to assess habit loop components: cue (trust), routine (intensity), and reward (adjustment).
Main Results:
- Over 75% trusted Fitbit data accuracy; nearly 50% adjusted physical activities based on data.
- Trust in activity data correlated with trust in sleep data; intensive use predicted adjustments in both.
- Psychological factors (depression, personality traits) predicted usage dimensions.
Conclusions:
- While Fitbit users trust data and adjust behaviors, this does not consistently translate to measurable changes in sleep and activity levels.
- Findings suggest a gap between perceived behavior change and actual physiological changes when using wearable technology.
Related Concept Videos
02:20Longitudinal Research
12.6K
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...
12.6K
01:26Longitudinal Studies
277
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...
277
01:50Cross-Sectional Research
11.9K
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
11.9K
02:16Surveys
16.1K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
16.1K