Add like
Add dislike
Add to saved papers

Sex-specific associations between sleep and mental health in university students: a large cross-sectional study.

OBJECTIVE: To examine the associations between sleep problems and mental health dimensions in university students, and the effect of sex on these associations.

PARTICIPANTS: Self-reported survey data from 3,483 students aged 18-30 years was drawn from a larger web-based study (i-Share) conducted in France in the years 2013-2017.

METHODS: We performed logistic regression analyses stratified by sex using insufficient sleep duration, poor sleep quality, difficulty initiating sleep and excessive daytime sleepiness, in relation with stress, self-esteem, depression and anxiety.

RESULTS: All sleep problems were strongly associated with all mental health dimensions, particularly anxiety, in female students. Sleep and mental health problems were also associated in male students, with the exception of low self-esteem, but odds ratios were lower than for female students.

CONCLUSIONS: Present findings warrant attention to propose early interventions targeting sleep and mental health in the university setting taking sex into account.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app