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. 2021 Feb 2;99(1):209–239. doi: 10.1111/1468-0009.12497

Table 3.

Robustness to Unmeasured Confounding (E‐Values) for the Associations Between Life Satisfaction (Third Tertile vs. First Tertile) and Subsequent Health and Well‐being (N =12,998) a

Effect Estimate b Confidence Interval Limit c
Physical Health
All‐cause mortality 2.02 1.54
Number of chronic conditions 1.29 1.18
Diabetes 1.32 1.00
Hypertension 1.06 1.00
Stroke 1.52 1.00
Cancer 1.35 1.00
Heart disease 1.41 1.00
Lung disease 1.48 1.00
Arthritis 1.20 1.00
Overweight/obesity 1.17 1.00
Physical functioning limitations 2.00 1.69
Cognitive impairment 1.22 1.00
Chronic pain 1.55 1.28
Self‐rated health 1.77 1.66
Health Behaviors
Binge drinking 1.37 1.00
Smoking 1.47 1.00
Frequent physical activity 1.38 1.11
Sleep problems 1.60 1.35
Psychological Well‐being
Positive affect 1.96 1.66
Life satisfaction 3.54 3.31
Optimism 1.91 1.78
Purpose in life 1.70 1.58
Mastery 1.90 1.76
Health mastery 1.66 1.50
Financial mastery 1.76 1.59
Psychological Distress
Depression 3.14 2.48
Depressive symptoms 1.74 1.61
Hopelessness 1.77 1.62
Negative affect 1.93 1.78
Perceived constraints 1.66 1.50
Social Factors
Loneliness 2.04 1.87
Living with spouse/partner 1.61 1.40
Contact with children <1x/week 1.12 1.00
Contact with other family <1x/week 1.20 1.00
Contact with friends <1x/week 1.36 1.00
a

See VanderWeele and Ding (2017)47 for the formula for calculating E‐values.

b

The E‐values for effect estimates are the minimum strength of association on the risk ratio scale that an unmeasured confounder would need to have with both the exposure and the outcome to fully explain away the observed association between the exposure and outcome, conditional on the measured covariates.

c

The E‐values for the limit of the 95% confidence interval (CI) closest to the null denote the minimum strength of association on the risk ratio scale that an unmeasured confounder would need to have with both the exposure and the outcome to shift the confidence interval to include the null value, conditional on the measured covariates.