Global Burden of Non-Communicable, Chronic Diseases

2015 ◽  
pp. 1-11 ◽  
Author(s):  
Mark D. Huffman ◽  
Sidney C. Smith
Keyword(s):  
Chronic Diseases ◽  
Global Burden

scholarly journals Dietary Supplements: Which Place between Food and Drugs?

Nutrients ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 204
Author(s):  
Catherine Féart
Keyword(s):  
Environmental Factors ◽  
Life Course ◽  
Dietary Supplements ◽  
Chronic Diseases ◽  
Dietary Habits ◽  
Food Choices ◽  
Global Burden ◽  
Aging Societies ◽  
The Life Course

Healthy dietary habits and food choices, a part of lifestyle, are recognized as major environmental factors for the prevention of non-communicable chronic diseases over the life course; their modifiable features promise a reduced socio-economic global burden load in aging societies [...]

The Global Burden of Chronic Diseases

JAMA ◽  
2004 ◽  
Vol 291 (21) ◽  
pp. 2616 ◽  
Author(s):  
Derek Yach ◽  
Corinna Hawkes ◽  
C. Linn Gould ◽  
Karen J. Hofman
Keyword(s):  
Chronic Diseases ◽  
Global Burden

scholarly journals Delivering Precision Behavior Change Through Digital Medicine

2018 ◽  
Author(s):  
Shannon Wongvibulsin ◽  
Seth S. Martin ◽  
Suchi Saria ◽  
Scott L. Zeger ◽  
Susan A. Murphy
Keyword(s):  
Intensive Care ◽  
Data Analysis ◽  
Behavior Change ◽  
Chronic Diseases ◽  
Behavioral Interventions ◽  
Global Burden ◽  
Change Behavior ◽  
Sensing Technology ◽  
Digital Medicine ◽  
Underlying Causes

Although the global burden of chronic diseases is rapidly growing, there is currently a mismatch between therapies that the healthcare system is equipped to provide and the interventions demonstrated to address the root causes of these chronic diseases. Since the underlying causes of chronic diseases are substantially lifestyle related, effective therapies require frequent, individualized behavioral interventions, but the intensive care that is traditionally provided in an effort to change behavior does not scale to meet the population’s chronic disease demands. This paper presents an alternative, scalable, technology-enabled framework for behavior change: we propose a “digital therapy” approach that comprises 1. precise targeting of the risk-producing behavior using real-time sensing technology, 2. predictive data analysis to identify the most effective intervention, and 3. delivery of that intervention with health-reinforcing feedback.

scholarly journals Dynamics of the epidemiological and nutritional transition in developing countries and appearance of covid 19: Overview

2020 ◽  
Vol 8 (2) ◽  
pp. 010-018
Author(s):  
Hamza Nadjib Merad-Boudia ◽  
Majda Dali-Sahi ◽  
Baya Guermouche ◽  
Nouria Dennouni-Medjati
Keyword(s):  
Developing Countries ◽  
Global Health ◽  
Chronic Diseases ◽  
Cause Of Death ◽  
Communicable Diseases ◽  
Global Burden ◽  
Epidemiological Transition ◽  
Demographic Changes ◽  
Nutritional Transition ◽  
Shed Light

The burden of chronic no communicable diseases has increased further, making these diseases the leading cause of death and disease worldwide. The aging of the population and public policies aim to shed light on the debates concerning the issues linked to major demographic changes. Our review returns to the concept of epidemiological transition, seeks to illustrate its evolution in developing countries and to make the link with the origin and characteristics of the nutritional transition. Then we will discuss the global burden of chronic diseases highly concentrated in developing countries. At the end, a section is devoted to changing the global health landscape with COVID 19 infection.

Detection of Chronic Disease in Primary Care Using Artificial Intelligence Techniques

2020 ◽  
pp. 195-219
Author(s):  
Hakan Gulmez
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Primary Care ◽  
Chronic Disease ◽  
Early Detection ◽  
Early Diagnosis ◽  
Chronic Diseases ◽  
Global Burden ◽  
Access Data ◽  
Intelligence Technique

Chronic diseases are the leading causes of death and disability worldwide. By 2020, it is expected to increase to 73% of all deaths and 60% of global burden of disease associated with chronic diseases. For all these reasons, early diagnosis and treatment of chronic diseases is very important. Machine learning is an application of artificial intelligence that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning is the development of computer programs that can access data and use it to learn for themselves. The learning process starts by searching for patterns in the examples, experiences, or observations. It will make faster and better decisions in the future based on all these. The primary purpose in machine learning is to allow computers to learn automatically without human help and affect. Considering all the reasons above, this chapter finds the most appropriate artificial intelligence technique for the early detection of chronic diseases.

Globalization of Risks for Chronic Diseases Demands Global Solutions

2004 ◽  
Vol 3 (1) ◽  
pp. 213-233 ◽  
Author(s):  
Derek Yach ◽  
Robert Beaglehole
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiovascular Diseases ◽  
Chronic Diseases ◽  
Respiratory Diseases ◽  
Global Solutions ◽  
Therapeutic Strategies ◽  
Global Burden ◽  
Chronic Respiratory Diseases ◽  
The Impact

AbstractDebates about globalization and health focus almost exclusively on communicable diseases. However, chronic diseases— especially cardiovascular diseases, cancer, chronic respiratory diseases and diabetes—now constitute the bulk of the global burden of disease. This chapter provides updated information on trends in the major macro-determinants of chronic diseases such as urbanization, globalization, and aging. Further, it summarizes evidence of the impact of known risk factors for chronic diseases such as tobacco, diet/nutrition, physical activity, and alcohol. Reasons for failure to invest in prevention are outlined and the importance of implementing available knowledge about preventive and therapeutic strategies is stressed.

scholarly journals Moving to a Plant-Based Diet Could Save Lives from Pandemics, Climate Change, and the Global Burden of Diet-Related Disease

2020 ◽  
Author(s):  
Jim P Stimpson ◽  
Deanna Meyler
Keyword(s):  
Climate Change ◽  
Chronic Disease ◽  
Chronic Diseases ◽  
Global Burden ◽  
Policy Action ◽  
Political Will ◽  
Animal Agriculture ◽  
Related Disease ◽  
Health Threats ◽  
Research And Policy

This manuscript is intended to highlight the important role that industrial animal agriculture has in contributing to millions of deaths worldwide from the combined health threats of pandemics, climate change, and global burden of chronic disease. One intervention, the reduction of industrial animal agriculture, could reduce both infectious and chronic diseases and improve the health of our planet. More research and policy action is urgently needed, particularly while the current COVID-19 pandemic has the potential to leverage political will to act.

Sign in / Sign up

Export Citation Format

Share Document