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Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

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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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Models of Health Promotion and Illness Prevention I01:25

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A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
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Levels of Health Promotion and Illness Prevention01:26

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Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
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Community Based Intervention01:30

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Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
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Structure-Activity Relationships and Drug Design01:28

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Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
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Related Experiment Video

Updated: Sep 23, 2025

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke
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[Interorganizational Networks for Smoking Prevention and Cessation: A Blockmodeling Approach].

Eun-Jun Park1, Hyeongsu Kim2, Kun Sei Lee3

  • 1Department of Nursing, Konkuk University, Chungju, Korea.

Journal of Korean Academy of Nursing
|May 16, 2022
PubMed
Summary

Community health centers lead Korean smoking cessation networks. Other organizations like hospitals, pharmacies, and welfare groups play diverse roles in these vital interorganizational collaborations.

Keywords:
Community Health CentersSmoking CessationSocial Network AnalysisTobacco

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Area of Science:

  • Public Health
  • Health Services Research
  • Social Network Analysis

Background:

  • Effective smoking prevention and cessation programs rely on coordinated interorganizational networks.
  • Understanding the structure and dynamics of these networks is crucial for optimizing public health interventions.

Purpose of the Study:

  • To examine the characteristics and patterns of interorganizational networks involved in smoking prevention and cessation in Korea.
  • To identify the roles and relationships among different healthcare organizations within these networks.

Main Methods:

  • A survey was conducted in 2020 across two districts in Seoul, targeting community health centers, hospitals/clinics, pharmacies, and health welfare organizations.
  • Network statistics and blockmodeling were employed to analyze data on organizational characteristics and interorganizational activities, including information sharing, client referral, and program collaboration.

Main Results:

  • Network size varied, with information sharing networks being the largest, followed by client referral and program collaboration networks.
  • Community health centers emerged as central nodes, actively providing information and receiving clients, demonstrating mutual interactions with other organizations.
  • Pharmacies focused on information sharing with health welfare organizations and referrals to hospitals/clinics, while health welfare organizations primarily collaborated with community health centers.

Conclusions:

  • Community health centers are identified as lead agencies in interorganizational smoking cessation efforts.
  • Hospitals/clinics, pharmacies, and health welfare organizations contribute with distinct roles within these networks.
  • The findings provide evidence for the development and enhancement of future interorganizational networks for smoking prevention and cessation.