Related Experiment Video
Updated: Jun 25, 2025
05:59
Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
Published on: March 7, 2019
6.7K
Analysis of multi-level barriers to physical activity among nursing students using regularized regression
Muge Capan1, Lily Bigelow1, Yukti Kathuria1
1Department of Mechanical and Industrial Engineering, College of Engineering, University of Massachusetts Amherst, Amherst, MA, United States of America.
Plos One
|May 24, 2024
Summary
Identifying barriers to physical activity (PA) is crucial for public health. For nurses, intrinsic motivation, support, education, and health technology use significantly predict PA barriers.
Area of Science:
- Public Health
- Nursing Workforce Health
Background:
- Physical inactivity is a significant public health concern.
- Understanding barriers to physical activity (PA) is vital, especially in healthcare professions like nursing.
- Factors connecting individual and social determinants to PA barriers among nurses are understudied.
Purpose of the Study:
- To categorize and model factors associated with PA barriers in nursing students.
- To utilize the National Institute on Minority Health and Health Disparities (NIMHD) Research Framework for analysis.
Main Methods:
- A scoring system was developed to quantify PA barriers.
- Regularized regression models were employed to predict PA barrier scores.
- The study included 163 nursing students.
Main Results:
- Intrinsic motivation, social and emotional support, and education were identified as significant predictors of PA barriers.
- The use of health technologies for tracking and decision-making also predicted PA barriers.
- These findings help identify nursing workforce populations at risk for PA barriers.
Conclusions:
- Interventions should address intrinsic motivation, social support, and educational factors to mitigate PA barriers in nursing students.
- Health informatics solutions are critical for monitoring and communication to prevent PA barriers.
- Proactive strategies are needed to ensure the nursing workforce remains physically active.
Related Concept Videos
01:25Multiple Regression
3.0K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.0K
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
37
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
37
01:52Regression Toward the Mean
6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
01:28Factors affecting Blood pressure
3.1K
Several physiological and lifestyle factors influence blood pressure (BP). Understanding these factors is crucial as they are significant in patient education and blood pressure management.
Physiological Factors:
Physiological Factors:
3.1K
01:25Statistical Methods for Analyzing Epidemiological Data
361
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
361
01:18Models of Health Promotion and Illness Prevention II
1.6K
The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
The agent-host-environment model states that disease results...
1.6K