Trio of Factors Behind Falling Heart Disease Mortality
|
By HospiMedica International staff writers Posted on 16 Mar 2016 |
Changes in smoking prevalence, serum cholesterol, and systolic blood pressure (BP) have been the major reason behind falling coronary heart disease (CHD) mortality over the past 40 years, according to a new study.
Researchers at the Finnish National Institute for Health and Welfare (Helsinki, Finland) conducted a population-based observational study to estimate how changes in the main risk factors of cardiovascular disease (CVD) can explain the reduction in CHD mortality observed among the working age population in eastern Finland. Participants included 34,525 men and women aged 30–59 years of age who participated in national studies between 1972 and 2012. The main outcome measures were predicted and observed age standardized mortality due to CHD.
The results showed that during the 40 years of the study, CHD mortality decreased by 82% and 84% among men and women aged 35–64 years, respectively. During this time, levels of the three major CVD risk factors decreased, except for a small increase in serum cholesterol levels between 2007 and 2012. Since the mid-1980s, the observed reduction in mortality has been larger than predicted, with about two thirds of the reduction explained by changes in the three main risk factors, and the remaining third by other factors. The study was published on March 1, 2016, in BMJ.
“Although secondary prevention and treatment protocols have markedly developed in recent decades, primary prevention and reduction in levels of the main classical factors contributing to cardiovascular risk should still be considered as the main strategy to reduce disease burden and mortality due to coronary heart disease,” concluded lead author Pekka Jousilahti, MD, PhD. “The changes in the three target risk factors during the first ten years of the study contributed to nearly all of the observed mortality reduction.”
Mortality from CHD started to increase in Finland in the 1950s, associated with an increasing standard of living, dietary causes, and other lifestyle changes. In the late 1960s, this mortality was the highest in the world, and was particularly high among working aged men in the eastern part of the country. As a result, the North Karelia Project was launched in 1972, with the aim of reducing the extremely high mortality from CHD by focusing on behavioral change through community action and participation, supported by screening of high risk individuals and medical treatment.
Related Links:
Finnish National Institute for Health and Welfare
Researchers at the Finnish National Institute for Health and Welfare (Helsinki, Finland) conducted a population-based observational study to estimate how changes in the main risk factors of cardiovascular disease (CVD) can explain the reduction in CHD mortality observed among the working age population in eastern Finland. Participants included 34,525 men and women aged 30–59 years of age who participated in national studies between 1972 and 2012. The main outcome measures were predicted and observed age standardized mortality due to CHD.
The results showed that during the 40 years of the study, CHD mortality decreased by 82% and 84% among men and women aged 35–64 years, respectively. During this time, levels of the three major CVD risk factors decreased, except for a small increase in serum cholesterol levels between 2007 and 2012. Since the mid-1980s, the observed reduction in mortality has been larger than predicted, with about two thirds of the reduction explained by changes in the three main risk factors, and the remaining third by other factors. The study was published on March 1, 2016, in BMJ.
“Although secondary prevention and treatment protocols have markedly developed in recent decades, primary prevention and reduction in levels of the main classical factors contributing to cardiovascular risk should still be considered as the main strategy to reduce disease burden and mortality due to coronary heart disease,” concluded lead author Pekka Jousilahti, MD, PhD. “The changes in the three target risk factors during the first ten years of the study contributed to nearly all of the observed mortality reduction.”
Mortality from CHD started to increase in Finland in the 1950s, associated with an increasing standard of living, dietary causes, and other lifestyle changes. In the late 1960s, this mortality was the highest in the world, and was particularly high among working aged men in the eastern part of the country. As a result, the North Karelia Project was launched in 1972, with the aim of reducing the extremely high mortality from CHD by focusing on behavioral change through community action and participation, supported by screening of high risk individuals and medical treatment.
Related Links:
Finnish National Institute for Health and Welfare
Latest Critical Care News
- Inhaled Analgesic Matches Morphine for Prehospital Trauma Pain
- FDA Clears Tongue-Applied Neuromodulation System for Stroke Gait Rehabilitation
- Eye Test May Predict Return of Consciousness After Severe Brain Injury
- Medical Drone Program Improves Blood Access and Patient Survival
- AI System Enables Real-Time Sepsis Quality Assessment and Improves Adherence
- AI Detects Hidden ECG Marker of Sudden Cardiac Death
- FDA-Cleared AI Wearable Monitor Detects Opioid-Related Respiratory Risk in Hospitals
- Mitral Valve Repair Device Receives EU Approval for Functional Regurgitation
- AI Risk Score Reveals Hidden Hypertension-Related Organ Damage
- AI Tool Predicts Bronchopulmonary Dysplasia Risk in Preterm Infants
- Optical Brain Monitoring Predicts Neurodevelopmental Outcomes in Preterm Infants
- AI Tool Identifies Children With Pneumonia Requiring Hospital Care
- AI Ultrasound System Improves Safety of Blood–Brain Barrier Opening
- CE-Marked Smartphone AI Enables Autonomous Skin Cancer Assessment at Point of Care
- Handheld Optical Device Screens for Early Necrotizing Enterocolitis in Preterm Infants
- Home Blood Pressure Telemonitoring Linked to Fewer Cardiovascular Events
Channels
Artificial Intelligence
view channel
AI Trends Report Guides Responsible, Effective Healthcare Deployment
Hospitals are under growing pressure to adopt artificial intelligence tools that improve safety, efficiency, and continuity of care without compromising quality. At the same time, clinicians need clearer... Read more
Privacy-Preserving AI Protects Sensitive Information in ECG Data
Artificial intelligence applied to electrocardiography can extract more than cardiac rhythm. Algorithms can infer age, sex, race, and even identity from electrocardiogram (ECG) signals, creating privacy... Read moreSurgical Techniques
view channel
Low-Frequency Ultrasound Selectively Targets Oral Cancer Cells
Oral cancer, a malignancy of the mouth, is a major health challenge in India where tobacco and areca nut use contribute substantially to the disease burden. Standard surgery, chemotherapy, and radiotherapy... Read more
Aortic Arch Remodeling Device Improves Type I Dissection Repair
Acute DeBakey Type I aortic dissection is an emergent tear of the ascending aorta that can extend into the arch and descending thoracic aorta. Rapid ischemic complications and high early mortality make... Read morePatient Care
view channel
AI Avatar Doctor Improves Patient Understanding Before Radiotherapy
Radiation oncology consultations require patients to grasp complex concepts quickly, yet anxiety and information overload often undermine understanding and informed consent. Poor comprehension can also... Read more
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read moreHealth IT
view channel
Digital Heart Model Supports Targeted Ablation in Atrial Fibrillation
Atrial fibrillation is an erratic, quivering heartbeat and a leading cause of stroke. Catheter ablation is widely used to interrupt arrhythmogenic tissue, yet many patients—especially with persistent ... Read moreAI Framework Helps Clinicians Create Trustworthy Risk Prediction Tools
Artificial intelligence (AI) is increasingly used to estimate risks for conditions such as sepsis, heart disease, and cancer, yet many models remain difficult for clinicians to interpret or trust.... Read morePoint of Care
view channel
Handheld Ultrasound Expands Point-of-Care Imaging Access in Brazil
Rapid access to diagnostic imaging is essential across hospitals, emergency departments, clinics, and municipal health systems, but large markets still face uneven availability, particularly in rural regions.... Read more







