= Solution
For the mild-to-moderate <transition intensity>, an increment $\Delta$ in a single <covariate>, with the others held fixed, gives the multiplicative ratio $\exp(b_{12,k}\Delta)$. Of the four printed effects on this transition, sex and HAQ have $95\%$ <confidence intervals> excluding zero on the log-intensity scale.
With male coded $1$ and female coded $0$, the estimated <hazard ratio> for males relative to females is
$$
\boxed{e^{-0.7695}=0.4632,\qquad95\%\text{ confidence interval }(e^{-1.328},e^{-0.2108})=(0.2650,0.8099).}
$$
Thus, conditional on currently being mildly fatigued and on the other <covariates>, males have an estimated mild-to-moderate transition intensity about $54\%$ lower than females. The conclusion concerns this particular instantaneous transition, rather than a general $54\%$ reduction in fatigue probability.
For a one-point increase in HAQ, indicating greater physical disability, the estimated intensity multiplier is
$$
\boxed{e^{0.9913}=2.6947,\qquad95\%\text{ confidence interval }(e^{0.5232},e^{1.459})=(1.6874,4.3017).}
$$
Greater disability is therefore associated with a substantially faster mild-to-moderate transition, after adjustment for sex, arthritis duration and haemoglobin. Both conclusions use the specified <log-linear transition intensity model> and the nominal individual $95\%$ intervals. Arthritis duration and haemoglobin have intervals including zero for this transition, so their effects here are not statistically significant at $5\%$; this says neither that their effects are zero nor that they are insignificant for all other transitions.
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