Why should population attributable fractions be periodically recalculated?: An example from cardiovascular risk estimation in southern Europe

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Abstract

Objective

To determine the effect of age and study period on coronary heart disease (CHD) risk attributable to cardiovascular risk factors.

Methods

A cohort of cardiovascular disease (CVD)-free randomly participants from Girona (Spain) aged 35–74 years recruited in 1995 and 2000 and followed for an average of 6.9 years. A survey conducted in the same area in 2005 was also used for the analysis. Smoking, hypertension, diabetes, sedentary lifestyle, obesity, total cholesterol ≥ 240 mg/dl, low-density lipoprotein (LDL) cholesterol ≥ 160 mg/dl, and high-density lipoprotein cholesterol < 40 mg/dl were the risk factors considered. The composite end-point included myocardial infarction, angina pectoris, and CHD death.

Results

LDL cholesterol had the highest potential for CHD prevention between 35 and 74 years [42% (95% Confidence Interval: 23,58)]. The age-stratified analysis showed that the population attributable risk (PAF) for smoking was 64% (30,80) in subjects < 55 years; for those  55 years, the PAF for hypertension was 34% (1,61). The decrease observed between 1995 and 2005 in the population's mean LDL cholesterol level reduced that PAF in all age groups.

Conclusion

Overall, LDL cholesterol levels had the highest potential for CHD prevention. Periodic PAF recalculation in different age groups may be required to adequately monitor population trends.

Introduction

Public health decisions about resource allocation, prevention, and patient care are closely tied to the availability of information on prevalence, incidence, mortality, and case-fatality to address the illnesses with the greatest impact on the population and their determinant risk factors. A key example is our need to understand cardiovascular diseases (CVD), the main cause of death in the developed world, and the associated risk factors (World Health Statistics, 2009).

The population attributable fraction (PAF), the proportion of disease incidence in the population that can be attributed to a risk factor, combines the concepts of incidence (alternatively, relative risk or hazard ratio) and risk factor prevalence (Walter, 1976). The assumptions underlying valid PAF estimation include a causal relationship between risk factors and disease; immediate risk reduction among the exposed, equal to non-exposure, when the risk factor is eliminated from a population; and independence of the considered risk factors from other factors that influence disease occurrence (Northridge, 1995, Rockhill et al., 1998).

PAF magnitude varies with age and region, known to modify risk factor prevalence (Gabriel et al., 2008, Evans et al., 2001, Howard et al., 2009, Yusuf et al., 2004, Menotti et al., 2000). Moreover, secular changes in the prevalence of risk factors also affect PAF values (Evans et al., 2001, Grau et al., 2007). For some risk factors, relative risks or hazard ratios vary by length of follow-up (Menotti et al., 2005, Menotti and Lanti, 2003), which may slightly influence PAF estimates.

Estimates of relative risk and risk factor prevalence are typically obtained from published data on different populations, regions and time periods (Medrano et al., 2007). Accurate PAF estimation requires relative risk and risk factor prevalence data from the same population.

This analysis aimed to determine the effect of age and study period on 10-year coronary heart disease (CHD) risk attributable to cardiovascular risk factors in a population-based study (CHD-PAF).

Section snippets

Design

In northeast Spain, a cohort of participants ages 35–74 was randomly recruited from the Girona census in two surveys (1995 and 2000) used to determine 10-year hazard ratios and CHD-PAF for different risk factors by age groups.

Baseline examinations at recruitment and a 2005 survey in the same region permitted analysis of CHD-PAF modifications over 10 years. Participation in all three surveys was > 72%. Inclusion criteria and recruitment methodology are previously described (Grau et al., 2007).

Results

We followed 1802 men and 1932 women for 25,744 person-years, with 6.9 years mean follow-up. During follow-up, 220 participants (4.7%) were lost, 106 participants suffered an incident CHD event, and 136 died of other causes (Fig. 1). The acute myocardial infarction age-standardized incidence rate was 295 and 94/100,000 men and women, respectively.

The prevalence of baseline hypertension, diabetes, and obesity (per BMI or waist circumference) increased with age, but older participants had lower

Discussion

PAF magnitude depends on the effect size of risk factor exposure and on this risk factor's prevalence. Effect size depends in turn on length of follow-up, age group, prevalence in that age group, period of time and region. Our study showed that age group and study period are important determinants of the magnitude of CHD-PAF for total, LDL, and HDL cholesterol, hypertension, diabetes and smoking. In our region, the risk factors with the highest population impact on CHD were smoking and LDL

Conclusions

Overall, LDL cholesterol levels had the highest potential for CHD prevention over 10 years in a Mediterranean population aged 35–74 years. In age-stratified analyses, PAF estimates were highest for smoking among participants ages 35–54 and for hypertension and low HDL cholesterol among those 55 and older. PAF may require periodic age-stratified recalculation of prevalence to adequately monitor the population trends in world regions.

Conflict of interest statement

The authors declare that there are no conflicts of interest.

Acknowledgments

This work was supported by Spain's Ministry of Science and Innovation through the Carlos III Health Institute [Red HERACLES RD06/0009], Health Research Fund [FIS-90/0672, FIS-93/0568, FIS 94/0539, FIS96/0026-01, FIS99/0655, FIS99/0013-01, FIS 99/9342, FIS 2003/HERMES PI20471, CP06/00100 to M.F., and CM08/00141 to M.G.]; Science and Technology Ministries Commission [CICYT-FEDER 1FD97-0626], and Ministry of Education and Science [SAF2003/1240]; the Government of Catalunya through the Catalan

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