Your interpretation of the log odds is wrong. You describe relative risk, but exponentiated coefficients give odds ratios. Those who smoke >25 cigarettes a day have 6 times higher odds to die before age 65.

"The statistical arguments against the use of linear regression with a binary dependent variable are not as decisive as it is often claimed. Even if the homoscedasticity assumption is violated, this in practice has little effect on the outcome of significance tests. The results for linear and logistic significance probabilities as we have seen turn out to be nearly identical, even with small samples and skewed distributions on the dependent variable." – Hellevik 2009: Linear versus logistic regression when the dependent variable is a dichotomy, Quality & Quantity 43(1):59-74

@user2338823 yes, you are correct