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. Author manuscript; available in PMC: 2020 Jul 1.
Published in final edited form as: Ann Epidemiol. 2019 May 17;35:20–28.e3. doi: 10.1016/j.annepidem.2019.05.002

Table 3.

Linear regression of allostatic load and logistic regression of self-reported health by EDS and by EOD (n = 207)

Discrimination Allostatic load
Self-reported physical health
EDS
EOD
EDS
EOD
β* 95% CI β 95% CI OR95% CI OR§ 95% CI
None −0.166 (1.044, 0.713) 0.216 (−0.847, 1.279) 1.483 (0.554, 3.973) 1.124 (0.354, 3.565)
Low −0.524 (−1.408, 0.360) −0.364 (−1.104, 0.377) 0.804 (0.286, 2.256) 0.945 (0.403, 2.213)
Moderate (ref) 5.454 5.431 1.000 1.000
High −0.556 (−1.651, 0.539) −0.512 (−1.464, 0.441) 0.907 (0.253, 3.248) 1.200 (0.405, 3.552)
Very high −0.407 (−1.682, 0.869) −1.307 (−2.411, −0.203) 1.686 (0.476, 5.969) 1.974 (0.664, 5.865)

Models adjusted for age, socioeconomic position, and medication use. Bolded value represents P < .05.

β = beta coefficient; CI = confidence interval; OR = odds ratio.

*

(Power) = 1-β = 0.99 (R2 = 0.16, α = 0.05).

1-β = 0.99 (R2 = 0.18, α = 0.05).

1-β = 0.80 (r2 = 0.07, α = 0.10).

§

1-β = 0.80 (r2 = 0.06, α = 0.10).

estimated mean allostatic load.