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Related Concept Videos

Introduction to Epidemiology01:26

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Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
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Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
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Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
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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...
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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:  
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Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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Assessment of Child Anthropometry in a Large Epidemiologic Study
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What's New in Epidemiology?

Sachin Malde1, Rufus Cartwright2, Kari A O Tikkinen3

  • 1Department of Urology, Guy's Hospital, London, UK.

European Urology Focus
|February 17, 2018
PubMed
Summary

Recent research advances our understanding of male lower urinary tract symptoms (LUTS). This review highlights key findings on risk factors, natural history, and the impact of LUTS in men.

Keywords:
Benign prostatic hyperplasiaEpidemiologyLower urinary tract symptomsNocturia

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Area of Science:

  • Urology
  • Epidemiology
  • Men's Health

Background:

  • Male lower urinary tract symptoms (LUTS) represent a significant health concern.
  • Epidemiological studies are crucial for understanding the prevalence and impact of LUTS.
  • Recent advancements have provided new insights into LUTS.

Purpose of the Study:

  • To review and synthesize recent novel literature on the epidemiology of male LUTS.
  • To focus on progress in understanding risk factors, natural history, and impact.
  • To provide an overview of the current state of research in male LUTS.

Main Methods:

  • Literature review of recent epidemiological studies on male LUTS.
  • Inclusion of studies focusing on risk factors, natural history, and impact.
  • Synthesis of key findings from selected high-impact publications.

Main Results:

  • Identification of novel risk factors associated with male LUTS.
  • New data on the natural progression and course of male LUTS.
  • Enhanced understanding of the multifaceted impact of LUTS on men's quality of life.

Conclusions:

  • Significant progress has been made in the epidemiological study of male LUTS.
  • Current research provides a more comprehensive view of LUTS etiology and consequences.
  • Further research is warranted to translate these findings into improved clinical management.