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

The Stanford Prison Experiment03:20

The Stanford Prison Experiment

23.6K
The famous and controversial Stanford Prison Experiment, conducted by social psychologist Philip Zimbardo and his colleagues at Stanford University, demonstrated the power of social roles, social norms, and scripts.
23.6K
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

12.3K
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...
12.3K
Factors Affecting Illness01:18

Factors Affecting Illness

4.4K
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
4.4K
Factors Affecting Protein-Drug Binding: Patient-Related Factors01:29

Factors Affecting Protein-Drug Binding: Patient-Related Factors

114
Protein-drug binding, a pivotal aspect of pharmacokinetics, is subject to considerable variability influenced by an array of patient-related factors. The intricate interplay of age, individual differences, and pathological conditions significantly impact the binding dynamics and subsequent pharmacological effects.
Age stands as a key determinant in protein-drug binding. Neonates, characterized by low albumin content, experience heightened concentrations of unbound drugs such as phenytoin and...
114
Factors Affecting Drug Distribution: Miscellaneous Factors01:19

Factors Affecting Drug Distribution: Miscellaneous Factors

518
Drug distribution in the human body is a complex process influenced by various individual factors, including age, pregnancy, obesity, diet, body water composition, pH levels, and specific disease conditions.
Age plays a significant role due to differences in body composition among different age groups. Infants, for instance, have a higher proportion of total body water and lower albumin levels, a protein that binds drugs in the bloodstream. This unique composition in infants enhances the...
518
Factors Affecting Protein-Drug Binding: Drug-Related Factors01:18

Factors Affecting Protein-Drug Binding: Drug-Related Factors

195
Drug binding to proteins is a complex phenomenon influenced by various drug-related factors, each playing a significant role in the interaction between drugs and proteins within the body.
One crucial factor in drug-protein binding is the drug's lipophilicity or its affinity for fat. More lipophilic drugs tend to have higher binding extents. For example, highly lipophilic drugs like cloxacillin exhibit substantial protein binding, with as much as 95% of the drug binding to proteins. In...
195

You might also read

Related Articles

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

Sort by
Same author

Everyday Discrimination and Mental Health: Comparisons Between Latino/a Immigrants and White U.S. Residents.

Hispanic health care international : the official journal of the National Association of Hispanic Nurses·2026
Same author

In vivo biocompatibility of poly-N-isopropylacrylamide (PNIPAM) hydrogels in Wistar rats: Hematological, biochemical, and histopathological assessments.

Tissue & cell·2026
Same author

Network structure shapes consensus dynamics through individual decisions.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Open Source Web Application (HealthTest) for Emotional Health and Wellness Management in University Students: Development and Usability Study.

Online journal of public health informatics·2025
Same author

Considering the nutritional benefits and health implications of red meat in the era of meatless initiatives.

Frontiers in nutrition·2025
Same author

Associations between childhood abuse, exposure to domestic violence, and the risk of later violent revictimization in Australia.

Child abuse & neglect·2025

Related Experiment Video

Updated: Sep 10, 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

14.6K

Factors Associated With All-Cause Mortality in a Western State Prison System, 1999-2020.

Jillian J Turanovic1, Nancy Rodriguez2, Julie L Kuper3

  • 1Department of Sociology, University of Colorado Boulder, Boulder, Colorado; Institute of Behavioral Science, University of Colorado Boulder, Boulder, Colorado.

American Journal of Preventive Medicine
|August 22, 2025
PubMed
Summary

Incarcerated individuals with self-harm incidents or long sentences face the highest mortality risk. Age, male sex, and specific needs increase risk, while program completion offers protection.

More Related Videos

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
08:00

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

7.6K
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

376

Related Experiment Videos

Last Updated: Sep 10, 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

14.6K
Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
08:00

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

7.6K
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

376

Area of Science:

  • Public Health
  • Criminology
  • Gerontology

Background:

  • Incarceration is associated with increased mortality, but specific risk factors within carceral settings are not well understood.
  • This knowledge gap hinders the development of targeted prevention strategies for vulnerable incarcerated populations.

Purpose of the Study:

  • To identify demographic, criminal history, institutional, and behavioral health factors associated with all-cause mortality in a large cohort of incarcerated adults.
  • To inform the development of interventions aimed at reducing in-prison deaths.

Main Methods:

  • Analysis of administrative records for 91,979 adults in a Western US state prison system (1999-2020).
  • Utilized complementary log-log regression to assess factors linked to mortality.
  • Examined associations between mortality and variables including age, sentence length, race, and behavioral health needs.

Main Results:

  • Mortality was associated with self-harm incidents (HR 15.19) and long sentences (21+ years, HR 16.84).
  • Older age (55+ at admission) significantly increased mortality risk (HR 11.79).
  • Factors such as male sex, prior incarcerations, higher custody levels, drug infractions, and unmet needs (mental health, academic, criminogenic) were linked to higher mortality.

Conclusions:

  • This study identified novel risk factors for mortality during incarceration, including self-harm and sentence length.
  • Foreign-born status, Black race, and completion of diverse correctional programs showed protective associations.
  • Findings provide actionable insights for targeted interventions to reduce mortality in carceral settings.