She ran the 5K at Worlds too. Anyway, to answer your question, she said after Worlds that she celebrated too much after Tokyo, paid the price with her 2022 performance, and has learned her lesson -- that she can't take success for granted. So I imagine that now she is just keeping her head down, training.
Double Olympic champion Sifan Hassan says she learnt a valuable lesson at the World Championships after failing to win a medal in both the women's 5,000 metres and 10,000 metres, which she had won at the Tokyo Olympics last y...
She watched the end of the 2021 season and saw the women's distance world change drastically via the emergence of Niyonsaba, who can trump Hassan's best asset, the late kick.
Once Niyonsaba was on the scene I knew it would demoralize Hassan, who was already in a post-Tokyo lull. Now she had to decide on going back down to 1500 and the cat and mouse races with Kipyegon, and/or facing all but certain defeat against Niyonsaba, and the frustration of dealing with a DSD athlete.
I was convinced we'd never see Hassan at all in 2022. But then Niyonsaba pulled out of Eugene with the phantom injury. That was Niyonsaba's tactic throughout 2022, to stay out of the spotlight as much as possible to avoid scrutiny toward Paris. Not only did she avoid Eugene but she also dropped out of the Diamond League final with another phantom issue, just days after defeating Monson and exclaiming on Instagram that she was excited for the remainder of the season.
Hassan knew she had a chance in Eugene, given the absence of Niyonsaba. But she had underestimated how much training was required for the late kick to reignite. She actually announced to Eugene a few days before Niyonsaba said she wouldn't be there. But there had been rumblings for more than a week prior that Niyonsaba was almost certainly out. She stopped competing after Eugene in late May, missing events planned for June.
I don't mind being accused of exaggerating Hassan's paranoia with Niyonsaba. That's exactly where I want to be. Ignoring or diminishing the variable is the gross error.