Related Experiment Video

Updated: Nov 22, 2025

A Cell Culture Model for Producing High Titer Hepatitis E Virus Stocks
10:28

A Cell Culture Model for Producing High Titer Hepatitis E Virus Stocks

Published on: June 26, 2020

10.1K

HEV prevalence and potential risk factors in a large multi-ethnic youth cohort in China

Huixia Li1, Yinxia Zhang1, Zhongren Ma1

  • 1Key Laboratory of Biotechnology and Bioengineering of State Ethnic Affairs Commission, Biomedical Research Center, Northwest Minzu University, Lanzhou, China.

Virology Journal
|January 7, 2021
PubMed

Insights

Hepatitis E virus (HEV) infection prevalence was studied in Chinese youth. Higher HEV IgG rates were found in females and specific ethnic groups, indicating ethnicity and location are key risk factors.

Area of Science:

  • Epidemiology
  • Infectious Diseases
  • Public Health

Background:

  • Hepatitis E virus (HEV) poses a significant public health concern globally.
  • Understanding HEV prevalence in diverse populations is crucial for targeted interventions.
  • China's multi-ethnic landscape necessitates region-specific HEV epidemiological data.

Purpose of the Study:

  • To determine the prevalence of HEV infection in a large, multi-ethnic youth cohort in China.
  • To identify potential risk factors associated with HEV infection within this cohort.
  • To provide comprehensive epidemiological data on HEV in Chinese youth.

Main Methods:

  • A cohort study involving 6269 participants.
  • Serum samples analyzed for anti-HEV IgG and anti-HEV IgM antibodies using enzyme immunoassay kits.
  • Statistical analysis to assess prevalence and risk factors, including ethnicity and geographic location.

Main Results:

  • Overall HEV IgG and IgM prevalence rates were 4.78% and 0.14%, respectively.
  • Significantly higher HEV IgG prevalence observed in females (5.27%) compared to males (4.14%).
  • Prevalence varied significantly across ethnic groups (e.g., Dong, Miao, Yi) and provinces (e.g., Guizhou, Sichuan).
  • Ethnicity and provincial background were significantly associated with HEV infection.

Conclusions:

  • This study offers valuable insights into HEV prevalence among multi-ethnic youth in China.
  • Findings highlight the importance of ethnicity and geographic origin as risk factors for HEV infection.
  • Further research is recommended to explore HEV prevalence in other age groups and populations.
Abstract

Keywords:
ChinaEthnicHepatitis E virusImmunoglobulin GImmunoglobulin M

More Related Videos

Detection of Polyfunctional T Cells in Children Vaccinated with Japanese Encephalitis Vaccine via the Flow Cytometry Technique09:37

Detection of Polyfunctional T Cells in Children Vaccinated with Japanese Encephalitis Vaccine via the Flow Cytometry Technique

Published on: September 23, 2022

2.1K
A Component-resolved Diagnostic Approach for a Study on Grass Pollen Allergens in Chinese Southerners with Allergic Rhinitis and/or Asthma06:34

A Component-resolved Diagnostic Approach for a Study on Grass Pollen Allergens in Chinese Southerners with Allergic Rhinitis and/or Asthma

Published on: June 4, 2017

10.3K

Related Concept Videos

Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
1.2K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
987
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

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...
13.0K
Hazard Ratio01:12

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
382
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
384
Factors Affecting Illness01:18

Factors Affecting Illness

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,...
4.8K