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. 2018 Jun 6;74(1):29–37. doi: 10.1093/geronb/gby068

Table 2.

Multilevel Logistic Models Predicting Reported Stressor

Variable OR 95% CI
Lagged forecasted stressor 3.00** 2.47–3.65
Age 1.02** 1.01–1.03
Interaction between forecasted stressor and age 1.00 0.98–1.02
Proportion of forecasted stressors 8.03** 4.33–14.91

Note: CI = confidence interval; OR = odds ratio. Multilevel logistic model predicting likelihood of reporting a stressor at the current survey from lagged forecasted stressor from the prior survey, demographics (i.e., age, sex, race–ethnicity, annual household income, education, and work/marital status) and their interactions. For simplicity, only the key predictors are displayed here. Full results are displayed in Supplementary Table S1. The OR was adjusted for proportion of observations the individual endorsed anticipating a stressor in the next few hours. Age was centered at 45 years old and addressed as a continuous variable.

**p < .01.