TABLE 3.

Theoretical implications on risk of death during follow-up in the FA + Sm + D model¹

Risk factor	β (HR)	β ÷  0.1252	Interpretation
Age (per year)	0.125 (1.13)3	1.00
Sex (female)	–0.453 (0.64)	–3.62	Being female changes risk of death equivalent to adding 3.62 years of life expectancy vs being male
14:0	–0.176 (0.84)	–1.41	Having a 14:0 level 1 quintile higher changes risk of death equivalent to adding 1.41 years (or 5.63 years for four quintiles higher)
16:1n–7	0.207 (1.23)	1.66	Having a 16:1n-7 level 1 quintile lower changes risk of death equivalent to adding 1.66 years of life expectancy (or 6.62 years for four quintiles lower)
22:0	–0.099 (0.91)	–0.79	Having a 22:0 level 1 quintile higher changes risk of death equivalent to adding 0.79 years (or 3.17 years for four quintiles higher)
O3I	–0.148 (0.86)	–1.18	Having a O3I level 1 quintile higher changes risk of death equivalent to adding 1.18 years younger (or 4.74 y for four quintiles higher)
Current smoker	0.591 (1.81)	4.73	Being a nonsmoker changes risk of death equivalent to adding 4.73 y
Prevalent diabetes	0.487 (1.63)	3.90	Not having diabetes changes risk of death equivalent to adding 3.90 y

¹The FA + Sm + D model consists of age, sex, 4 FA metrics [14:0, 16:1n–7, 22:0, and O3I (20:5n–3 + 22:6n–3)], current smoking status, and prevalent diabetes. The model (Figure 1) has a concordance = 0.790 and n = 2240. A, age; D, diabetes; FA, fatty acid; O3I, omega-3 index; S, sex; Sm, smoking.

²Dividing β by 0.125 yields a value indicating how the relative risk of death changes for a risk factor compared to the change in risk from being 1 y older (i.e., smoking status or diabetes prevalence) relative to the change in risk for death from being 1 y younger. These estimates are from a model (Figure 1) that uses age, sex, 4 FA metrics, smoking status, and prevalent diabetes.

³The HR per year for age is 1.13, or 13% more likely to die for each additional year of age.