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. Author manuscript; available in PMC: 2016 Jul 11.
Published in final edited form as: Lancet. 2015 May 7;386(9989):154–162. doi: 10.1016/S0140-6736(14)61774-8

Table 4. Population Attributable Risks of Incident Atrial Fibrillation Risk Factors Across Time Periods.

Decade of Atrial Fibrillation Onset
Age- and Sex-Adjusted Hazards Ratios (95% CI)
Trend
1958-1967 1968-1977 1978-1987 1988-1997 1998-2007
Current smoking Not contributing Not contributing Not contributing Not contributing Not contributing
Alcohol consumption Not contributing Not contributing Not contributing Not contributing Not contributing
Body mass index 12•0 12•9 14•1 15•4 16•9
Systolic blood pressure 47•3 33•0 19•9 8•3 -2•1
Hypertension treatment 9•8 12•0 14•5 17•0 19•5
Diabetes 3•2 3•7 4•4 5•1 5•9
Electrocardiographic LVH 10•4 6•9 4•5 2•9 1•8
Significant heart murmur 21•9 15•4 10•1 6•1 3•1
Heart failure 7•8 5•6 3•9 2•5 1•4
Myocardial infarction 3•6 3•6 3•6 3•6 3•6 -

For risk factors without trend in prevalence, the average predicted prevalence from logistic models with age and sex as predictors (Table 2) were used in population attributable risk calculation; for factors with trend in prevalence, the average predicted prevalence from logistic models with age, sex and period as predictors were used in population attributable risk.

Risk factors with non-significant hazards ratios (p-value >0.05) were deemed not contributing (Supplementary Table 3-1). For risk factors without trend in hazards ratio, the constant hazards ratio estimated from Cox models with age, sex, period and risk factors as predictors (Supplementary Table 3-1) were used in population attributable risk calculation; for factors with trend in hazards ratio, the hazards ratios from Cox models with age, sex, period, risk factors, and period and risk factor interaction as predictors (Supplementary Table 3-2) were used in population attributable risk.

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