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

Relative Risk01:12

Relative Risk

2.0K
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...
2.0K
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

13.3K
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...
13.3K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

292
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...
292
Socioemotional Experience and Gender Development01:30

Socioemotional Experience and Gender Development

274
Social-emotional experiences and cultural influences play significant roles in shaping gender development. During middle childhood, from ages 6 to 11, peer groups become dominant in reinforcing gender norms. Children in this age group often align with same-gender peer groups, which actively encourage behaviors that conform to traditional gender roles. For instance, boys may be discouraged from engaging in activities perceived as feminine, reinforcing culturally dictated norms about masculinity...
274
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.1K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.1K
Electric Potential and Potential Difference01:16

Electric Potential and Potential Difference

5.6K
Suppose a positive test charge moves away from a positive static charge, then the Coulomb force does positive work, and its electric potential energy decreases. The potential energy per unit charge is defined as the electric potential. The electric potential is independent of the test charge.
When a test charge moves from the initial to the final position, the electric potential difference between those positions is defined as the ratio of the change in the potential energy to the charge on the...
5.6K

You might also read

Related Articles

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

Sort by
Same author

Facial Recognition Analyses Reveal Social Networks of Co-Occurrence at Harbor Seal Haul-Out Sites.

Ecology and evolution·2026
Same author

Multi-SNP Haplotypes in Circadian <i>PER3</i> Gene Are Associated with Mood and Sleep Disorders in University Students.

Genes·2025
Same author

Machine learning uncovers novel sex-specific dementia biomarkers linked to autism and eye diseases.

Journal of Alzheimer's disease reports·2025
Same author

Sex- and Substance-Specific Associations of Circadian-Related Genes with Addiction in the UK Biobank Cohort Implicate Neuroplasticity Pathways.

Brain sciences·2025
Same author

Risk for Seasonal Affective Disorder (SAD) Linked to Circadian Clock Gene Variants.

Biology·2023
Same author

Machine Learning Analyses Reveal Circadian Features Predictive of Risk for Sleep Disturbance.

Nature and science of sleep·2022

Related Experiment Video

Updated: Jan 24, 2026

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

87.6K

Chronotype mediates gender differences in risk propensity and risk-taking.

Rebecca Gowen1, Allan Filipowicz2, Krista K Ingram1

  • 1Biology Department, Colgate University, Hamilton, New York, United States of America.

Plos One
|May 24, 2019
PubMed
Summary

Chronotype, or an individual's natural sleep-wake cycle, influences risk-taking behavior. Evening-type individuals, particularly females, exhibit higher risk propensity and behavior, mediated by chronotype rather than anxiety or sleep issues.

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

2.5K
Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
06:04

Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome

Published on: September 27, 2024

1.4K

Related Experiment Videos

Last Updated: Jan 24, 2026

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

87.6K
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

2.5K
Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
06:04

Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome

Published on: September 27, 2024

1.4K

Area of Science:

  • Psychology
  • Neuroscience
  • Behavioral Science

Background:

  • Risk-taking is a complex decision-making process influenced by various factors.
  • Previous research indicates males generally exhibit higher risk-taking propensity than females.
  • Circadian phenotypes (chronotypes) are also linked to risk-taking, but potential gender confounds exist.

Purpose of the Study:

  • To investigate the independent and interactive effects of gender and chronotype on risk-taking behavior in young adults.
  • To explore the mediating role of chronotype in gender differences in risk-taking.
  • To examine the influence of trait anxiety and sleep disturbance on these relationships.

Main Methods:

  • A study involving 610 young adults.
  • Utilized self-reported risk propensity (DOSPERT questionnaire) and behavioral risk-taking (Balloon Analog Risk Task - BART).
  • Assessed chronotype, trait anxiety (STAI), and sleep disturbance (PROMIS).

Main Results:

  • Males reported and exhibited significantly higher risk-taking than females.
  • Evening-type individuals showed higher self-reported risk propensity and BART risk-taking.
  • Evening-type females, specifically, demonstrated significantly higher risk propensity and behavior compared to other female chronotypes.

Conclusions:

  • Chronotype significantly predicts risk propensity and behavior, mediating gender differences.
  • Gender and chronotype interact, with evening-type females driving higher risk-taking.
  • Trait anxiety and sleep disturbance did not independently explain gender differences in female risk-taking.