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

Preventive Healthcare Services01:30

Preventive Healthcare Services

1.7K
Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:
1.7K
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

1.9K
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...
1.9K
Relative Risk01:12

Relative Risk

1.5K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
1.5K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

320
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
320
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

2.6K
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
2.6K
Levels of Health Promotion and Illness Prevention01:26

Levels of Health Promotion and Illness Prevention

14.1K
Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...
14.1K

You might also read

Related Articles

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

Sort by
Same author

Who wants to pay more taxes for better long-term care services: evidence from OECD surveys.

Health economics review·2026
Same author

On children's motives to influence parents' long-term care insurance purchase: evidence from Switzerland.

The Geneva papers on risk and insurance. Issues and practice·2024
Same author

On the determinants and the role of the payers in the uptake of genetic testing and data sharing in personalized health.

Frontiers in public health·2023
Same author

Is there a "pandemic effect" on individuals' willingness to take genetic tests?

European journal of human genetics : EJHG·2022
Same author

On the effect of uncertainty on personal vaccination decisions.

Health economics·2021
Same author

Special issue of The Geneva Papers in memory of Orio Giarini.

The Geneva papers on risk and insurance. Issues and practice·2021

Related Experiment Video

Updated: Dec 18, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.0K

On Portfolios of Preventive Decisions for Multiple Health Risks - Evidence from US-Based Data.

Christophe Courbage1, Veronika Kalouguina2

  • 1Associate Professor, Geneva School of Business Administration, University of Applied Sciences Western Switzerland (HES-SO), Geneva, Switzerland.

Healthcare Policy = Politiques De Sante
|June 16, 2020
PubMed
Summary

Individuals can engage in multiple preventive health activities, forming a health portfolio. Awareness of illness, information access, and having a doctor significantly expand this portfolio, with vaccinations often paired with screenings.

More Related Videos

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.4K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.4K

Related Experiment Videos

Last Updated: Dec 18, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.0K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.4K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.4K

Area of Science:

  • Public Health
  • Health Economics
  • Behavioral Science

Background:

  • Individuals face numerous health risks, necessitating a range of preventive actions.
  • These actions can be viewed as a 'portfolio' of preventive activities.
  • Understanding the drivers and interrelations of these portfolios is crucial for public health interventions.

Purpose of the Study:

  • To identify factors influencing the composition of preventive health activity portfolios.
  • To examine the interactions and co-occurrence of various preventive health behaviors.
  • To provide insights into optimizing public health strategies through understanding behavior.

Main Methods:

  • Utilized the US Behavioral Risk Factor Surveillance System (BRFSS) survey data from 2016.
  • Analyzed a dataset comprising 22,510 observations across all US states and territories.
  • Employed statistical methods to investigate determinants and interactions of preventive activities.

Main Results:

  • Information-related variables, such as illness awareness, information access, and having a personal doctor, positively correlate with larger portfolios of preventive activities.
  • Vaccinations were found to be frequently undertaken alongside screening activities.
  • A weaker association was observed between vaccinations and exercising.

Conclusions:

  • Health information access and a consistent relationship with healthcare providers are key drivers for engaging in a broader range of preventive health measures.
  • Synergies exist between certain preventive activities, like vaccinations and screenings, suggesting opportunities for integrated health promotion.
  • Public health initiatives could be enhanced by focusing on information dissemination and strengthening patient-provider relationships to encourage comprehensive preventive care.