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Published on: September 26, 2018
Ranking age-specific modifiable risk factors for cardiovascular disease and mortality: evidence from a
Fei Tian1, Lan Chen1, Zhengmin Min Qian2
1Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Insights
Cardiovascular disease (CVD) risk factors significantly impact mortality across all ages, with their influence decreasing in older adults. Targeted interventions addressing metabolic factors like hypertension and abdominal obesity are crucial for prevention.
Area of Science:
- Public Health
- Epidemiology
- Cardiology
Background:
- Cardiovascular disease (CVD) represents a major global health concern.
- Understanding age-specific risk factor impacts is vital for effective prevention strategies.
Purpose of the Study:
- To investigate the age-specific effects of 14 modifiable risk factors on cardiovascular disease (CVD) and mortality.
- To quantify the population-attributable fraction (PAF) of CVD and mortality for these risk factors across different age groups.
Main Methods:
- Analysis of UK Biobank data from 226,759 participants aged 40+ without prior CVD.
- Calculation of age-specific hazard ratios (HRs) and population-attributable fractions (PAFs) for CVD and mortality.
- Follow-up period from baseline (2006-2010) to September 30, 2021, with a primary composite CVD outcome of coronary artery disease, heart failure, and stroke.
Main Results:
- Over 12.17 years, 23,838 CVD cases and 11,949 deaths occurred.
- The overall PAF for CVD and mortality declined with age (56.53% in middle-age, 49.78% in quinquagenarians, 42.45% in the elderly).
- Metabolic factors, particularly hypertension and abdominal obesity, contributed most significantly to the PAF across all age groups. Smoking was the leading behavioral factor, and low income/less education were prominent socioeconomic factors.
Conclusions:
- A substantial proportion of CVD cases and deaths are attributable to modifiable risk factors in all adult age groups.
- Interventions should prioritize high-impact and age-specific modifiable risk factors.
- Findings support the development of tailored medical strategies for CVD prevention and management.
Background:
Cardiovascular disease (CVD) remains a paramount contemporary health challenge. This study examined age-specific effects of 14 risk factors on CVD and mortality in different age groups.
Methods:
We analyzed data from 226,759 CVD-free participants aged 40 years and older in the UK Biobank during the period from baseline time (2006-2010) to September 30, 2021. The primary CVD outcome was a composite of incident coronary artery disease, heart failure, and stroke. We calculated age-specific hazard ratios (HRs) and population-attributable fractions (PAF) for CVD and mortality associated with 14 potentially modifiable risk factors.
Findings:
During 12.17-year follow-up, 23,838 incident CVD cases and 11,949 deaths occurred. Age-specific disparities were observed in the risk factors contributing to CVD, and the overall PAF declined with age (PAF of 56.53% in middle-age; 49.78% in quinquagenarian; 42.45% in the elderly). Metabolic factors had the highest PAF in each age group, with hypertension (14.04% of the PAF) and abdominal obesity (9.58% of the PAF) being prominent. Behavioral factors had the highest PAF in the middle-aged group (10.68% of the PAF), and smoking was the leading behavioral factor in all age groups. In socioeconomic and psychosocial risk clusters, low income contributed most among middle-aged (3.74% of the PAF) and elderly groups (3.66% of the PAF), while less education accounted more PAF for quinquagenarian group (4.46% of the PAF). Similar age-specific patterns were observed for cardiovascular subtypes and mortality.
Interpretation:
A large fraction of CVD cases and deaths were associated with modifiable risk factors in all age groups. Targeted efforts should focus on the most impactful risk factors, as well as age-specific modifiable risk factors. These findings may inform the development of more precise medical strategies to prevent and manage CVD and related mortality.
Funding:
The work was supported by the Bill & Melinda Gates Foundation (grant number: INV-016826 to Hualiang Lin) and the National Natural Science Foundation of China (grant number: 82373534 to Hualiang Lin).
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