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

Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

334
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
334
Development of Analytical Methods01:21

Development of Analytical Methods

2.3K
An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...
2.3K
Relative Risk01:12

Relative Risk

2.2K
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...
2.2K
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

13.8K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.8K
Drug Toxicity: Risk factors01:24

Drug Toxicity: Risk factors

1
Adverse Drug Reactions (ADRs) are potential complications that arise during pharmacotherapy, influenced by multiple risk factors. Age plays a significant role; both neonates and the elderly are at heightened risk due to their respective immature and diminished metabolic and elimination processes. Gender also impacts ADRs, with females experiencing a 1.5 to 1.7-fold greater risk than males, which may be linked to pharmacokinetic, pharmacodynamic, and hormonal differences. Notably, neonates, the...
1
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

964
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
964

You might also read

Related Articles

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

Sort by
Same author

Preterm birth and birth weight extremes are associated with periodontal disease and tooth loss in the ARIC study.

Scientific reports·2026
Same author

Combined Influence of Dental Caries and Periodontal Disease on Ischemic Stroke Risk.

Neurology open access·2026
Same author

Periodontal Disease Independently Associated With White Matter Hyperintensity Volume: A Measure of Cerebral Small Vessel Disease.

Neurology open access·2026
Same author

Genome-wide association study of periodontitis severity and progression.

Journal of periodontology·2025
Same author

Clonal hematopoiesis driven by mutated DNMT3A promotes inflammatory bone loss.

Cell·2024
Same author

Circulating IgG antibodies to periodontal bacteria and lung cancer risk in the CLUE cohorts.

JNCI cancer spectrum·2023

Related Experiment Video

Updated: Feb 13, 2026

Induction of Periodontitis via a Combination of Ligature and Lipopolysaccharide Injection in a Rat Model
06:14

Induction of Periodontitis via a Combination of Ligature and Lipopolysaccharide Injection in a Rat Model

Published on: February 17, 2023

5.2K

Methods of Assessing Risk for Periodontitis and Developing Multifactorial Models.

James D Beck

    Journal of Periodontology
    |March 15, 2018
    PubMed
    Summary

    Periodontitis risk assessment requires careful study design. Longitudinal studies reveal risk factors and predictors for disease progression, improving prediction models for better oral health interventions.

    Keywords:
    Periodontitis/prevention and controlbiologicalfollow-up studiesmodelsrisk factorsrisk-taking

    More Related Videos

    Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
    19:15

    Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

    Published on: August 25, 2014

    88.1K
    Murine Model of Advanced Periodontitis Induced by Nylon Ligature in the Second Upper Molar
    07:14

    Murine Model of Advanced Periodontitis Induced by Nylon Ligature in the Second Upper Molar

    Published on: May 30, 2025

    959

    Related Experiment Videos

    Last Updated: Feb 13, 2026

    Induction of Periodontitis via a Combination of Ligature and Lipopolysaccharide Injection in a Rat Model
    06:14

    Induction of Periodontitis via a Combination of Ligature and Lipopolysaccharide Injection in a Rat Model

    Published on: February 17, 2023

    5.2K
    Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
    19:15

    Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

    Published on: August 25, 2014

    88.1K
    Murine Model of Advanced Periodontitis Induced by Nylon Ligature in the Second Upper Molar
    07:14

    Murine Model of Advanced Periodontitis Induced by Nylon Ligature in the Second Upper Molar

    Published on: May 30, 2025

    959

    Area of Science:

    • Periodontology
    • Dental Public Health
    • Epidemiology

    Background:

    • Periodontitis risk assessment shares similarities with common medical conditions.
    • Prevention and intervention strategies involve personal behaviors and professional practices.

    Purpose of the Study:

    • To present principles for designing risk assessment studies in periodontitis.
    • To discuss choices in defining high risk and constructing risk models.
    • To explore implications of different modeling alternatives.

    Main Methods:

    • Utilized findings from the Piedmont 65+ Dental Study, a longitudinal study of older adults.
    • Analyzed risk indicators, risk factors, risk predictors, and prediction models.
    • Evaluated model accuracy in predicting attachment loss over a 3-year period.

    Main Results:

    • Cross-sectional risk indicators often differ from longitudinal risk factors.
    • Oral risk factors and other categories contribute to disease progression.
    • Risk models accurately predicted attachment loss but had moderate success for non-progression.
    • Risk predictors enhanced prediction but could mask important risk factors.

    Conclusions:

    • Longitudinal data are crucial for identifying true risk factors in periodontitis.
    • Integrating host defense mechanisms may improve risk prediction models.
    • Accurate risk assessment is vital for effective periodontitis management.