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Related Concept Videos

Factors Affecting Illness01:18

Factors Affecting Illness

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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,...
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Models of Health Promotion and Illness Prevention II01:18

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The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
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Dimensions of Health and Illness01:21

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The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.
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Classification of Illness01:17

Classification of Illness

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The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
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Prevalence and Incidence01:08

Prevalence and Incidence

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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...
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Chronic Obstructive Pulmonary Disease-I: Introduction01:20

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Chronic Obstructive Pulmonary Disease (COPD) is a long-lasting respiratory condition requiring continuous attention and care. It is a progressive lung disease that leads to breathing challenges due to airflow obstruction. It manifests as persistent respiratory symptoms and restricted airflow resulting from abnormalities in the airways and alveoli, usually due to long-term exposure to harmful particles or gases. COPD mainly consists of two primary conditions: emphysema and chronic bronchitis.
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Related Experiment Video

Updated: Apr 11, 2026

Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography
03:35

Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography

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Beyond Rurality: Individual Socioeconomic Status and Chronic Disease Prevalence.

Shivani Sabarish1,2, Chung-Il Wi1,2, Madison Beenken2,3

  • 1Department of Pediatric and Adolescent Medicine, Mayo Clinic Rochester, MN.

Medrxiv : the Preprint Server for Health Sciences
|April 10, 2026
PubMed
Summary
This summary is machine-generated.

Socioeconomic status (SES) strongly predicts chronic disease prevalence, more so than rurality. Understanding individual-level SES is crucial for assessing health risks and disparities in adult populations.

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Area of Science:

  • Public Health
  • Epidemiology
  • Health Disparities

Background:

  • Rural-urban disparities in chronic disease prevalence are known.
  • The specific contribution of individual socioeconomic status (SES) to these disparities is less clear.

Purpose of the Study:

  • To investigate the association between rurality, SES, and the prevalence of five major chronic diseases in adults.
  • To compare the impact of rurality versus individual-level SES on chronic disease prevalence.

Main Methods:

  • Retrospective, population-based cross-sectional study using Expanded Rochester Epidemiology Project (E-REP) data (2014-2019).
  • Included 455,802 adults, assessing chronic diseases (asthma, diabetes, hypertension, coronary heart disease, mood disorders) via ICD codes.
  • Analyzed rurality (RUCA codes) and individual SES (HOUSES index) using adjusted mixed-effects logistic regression.

Main Results:

  • Initially, urban areas had higher prevalence of mood disorders, hypertension, and diabetes.
  • After adjusting for demographics and healthcare use, rural-urban differences in disease prevalence became insignificant.
  • Individual SES (HOUSES index) showed a significant, dose-response association with all five chronic diseases.

Conclusions:

  • Individual-level socioeconomic status is a more potent predictor of chronic disease prevalence than rurality.
  • The HOUSES index is valuable for population health assessment and risk stratification.
  • Findings highlight the critical role of SES in understanding and addressing chronic disease burdens.