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Related Concept Videos

Hypothesis Test for Test of Independence01:16

Hypothesis Test for Test of Independence

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The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
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Stress often leads to unhealthy habits like smoking, excessive drinking, and overeating, which offer short-term relief but ultimately increase long-term health risks. These behaviors create a cycle that temporarily lowers stress levels but can result in severe long-term health consequences. Breaking these habits is essential to reduce the risk of chronic diseases and improve overall well-being. Three primary changes that support better health include quitting smoking, reducing alcohol intake,...
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Determination of Expected Frequency01:08

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Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
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Ethanol, a clear colorless alcohol, has been consumed by humans for millennia, but its effects on the body are far from benign. At lower doses, it induces decreased inhibitions and loquaciousness, leading to its social appeal. However, it can cause severe consequences at higher doses, such as coma and respiratory depression, due to its zero-order elimination kinetics. Chronic ethanol abuse wreaks havoc on multiple organ systems, particularly the CNS and the liver. Abrupt cessation of ethanol...
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Life Tables01:22

Life Tables

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A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
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Introduction to Test of Independence01:21

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In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
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Updated: Sep 12, 2025

Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis
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Alcohol and life expectancy.

Ichiro Wakabayashi1, Klaus Groschner2

  • 1Department of Preventive Medicine, School of Medicine, Hyogo Medical University.

Environmental Health and Preventive Medicine
|August 6, 2025
PubMed
Summary
This summary is machine-generated.

Reducing harmful alcohol consumption is a global health priority. While some studies suggest light drinking may benefit heart health, these findings are often confounded, and alcohol use remains a major disease risk factor.

Keywords:
AlcoholCardiovascular diseaseEducationGenderIncomeLife expectancyOccupationSocioeconomic inequality

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Area of Science:

  • Public Health
  • Epidemiology
  • Cardiovascular Disease Research

Background:

  • High blood pressure, tobacco smoking, and alcohol use are leading global disease risk factors.
  • Alcohol consumption is linked to numerous acute and chronic health issues, including cancer, injury, suicide, and alcohol use disorder.
  • A U- or J-shaped relationship exists between alcohol intake and all-cause mortality, with potential cardiovascular benefits observed in light-to-moderate drinkers.

Purpose of the Study:

  • To critically evaluate the purported cardiovascular benefits of light-to-moderate alcohol consumption.
  • To highlight the confounding factors and biases, such as healthy drinker bias, that may influence study findings.
  • To emphasize the overall public health burden of alcohol use and the importance of reducing consumption.

Main Methods:

  • Review of existing epidemiological studies on alcohol consumption and health outcomes.
  • Analysis of potential confounding variables, including socioeconomic factors and drinking patterns.
  • Examination of the role of biogenic compounds in alcoholic beverages.

Main Results:

  • Observed associations between light-to-moderate alcohol intake and reduced cardiovascular disease risk are likely influenced by confounding and selection biases.
  • Biogenic compounds in beverages like wine may contribute to observed effects, but confounding remains significant.
  • Unhealthy alcohol use is a major behavioral risk factor contributing to mortality and reduced life expectancy, particularly among men and lower socioeconomic groups.

Conclusions:

  • The potential cardiovascular benefits of light-to-moderate alcohol consumption are uncertain and likely overshadowed by significant public health risks.
  • Reducing harmful alcohol consumption is a critical public health priority, necessitating targeted social policies and interventions.
  • Public health strategies must consider socioeconomic disparities and be tailored to specific social and temporal contexts to effectively address alcohol-related harm.